Jemone Nuel

SS FCL Orioles

Age 20 S/R 6'0" / 150 lbs ROK HR +9% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP40OGV rank#373ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Orioles B…	198	.208/.374/.357	3	20	35	—	.122/.262/.195
2025	18	ROKDSL Orioles O…	235	.261/.437/.398	3	45	57	—	.168/.312/.251
2026	19	A/ROKBAL	320	.243/.397/.375	3	37	61	—	.181/.292/.271
2027PROJMLE	20	MLBBAL	430	.199/.306/.291	4	18	74	0.2
2028PROJ25% MLB	21	MLBBAL	66	.209/.314/.318	1	3	81	0.1
2029PROJ38% MLB	22	MLBBAL	141	.214/.318/.334	2	5	85	0.2

Next 3 projected WAR 0.5Projected 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$4M2034Arb-2$7M+1

Skills · percentileMiLB Statcast 2026 A

Chase%76

BB%49

K%45

Speed34

Whiff%20

Z-Con%19

Career WAR0.0 WAR median (P10 0.0 / P90 1.8, comp-based) · star 2% · didn't stick 91%

CompsAdrian Pinto (age 20) · Keiner Delgado (age 20) · Leo Rivas (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 206 proj PA

wRC+†74

AVG/OBP/SLG.197 / .303 / .289

PA206

HR2

SB8

K%28

BB%12

ISO92

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$14M 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	+0.5	$2M	+$1.0M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Arb-1	$4M	+0.9	$2M	+$0.0M (cut)
2034	Arb-2	$7M	+0.8	$2M	+$0.0M (cut)
2035	Arb-3	$9M	+0.7	$2M	+$0.0M (cut)
Totals		$3M		$12M	+$4M

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 Orioles Black	—	198	154	32	8	3	3	38	60	3	20	4	208	374	357	732	149	312	30	19	335	35	—	—	—	—	—	—
2025	18	ROK	DSL Orioles Orange	—	235	176	46	9	3	3	51	48	4	45	8	261	437	398	835	136	339	20	22	380	57	—	—	—	—	—	—
2026	19	A	Delmarva Shorebirds	—	124	106	20	4	0	0	15	31	1	8	2	189	295	226	521	38	263	25	12	249	22	—	—	—	—	—	—
2026	19	ROK	FCL Orioles	—	196	145	41	12	4	3	45	33	3	29	5	283	461	483	944	200	342	17	23	416	86	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Orioles Black	—	198	164	20	5	2	1	28	75	3	20	4	122	262	195	457	73	197	38	14	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Orioles Orange	—	235	191	32	6	2	2	36	58	4	45	8	168	312	251	563	84	211	25	15	253	57	—	—	—	—	—	—
2026	19	A MLE	Delmarva Shorebirds	—	124	110	17	3	0	0	11	42	1	8	2	155	238	182	420	27	245	34	9	200	22	—	—	—	—	—	—
2026	19	ROK MLE	FCL Orioles	—	196	162	32	9	3	2	28	47	3	29	5	198	326	327	654	130	254	24	14	296	86	—	—	—	—	—	—
2024	17	ROK MLE	DSL Orioles Black	—	198	164	20	5	2	1	28	75	3	20	4	122	262	195	457	73	211	38	14	220	35	—	—	—	—	—	—
2024	17	ROK RAW	DSL Orioles Black	—	198	154	32	8	3	3	38	60	3	20	4	208	374	357	732	149	312	30	19	335	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Orioles Orange	—	235	191	32	6	2	2	36	58	4	45	8	168	312	251	563	84	226	25	15	253	57	—	—	—	—	—	—
2025	18	ROK RAW	DSL Orioles Orange	—	235	176	46	9	3	3	51	48	4	45	8	261	437	398	835	136	339	20	22	380	57	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	320	272	49	12	3	2	39	90	4	37	7	180	292	268	560	88	257	28	12	259	61	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	320	251	61	16	4	3	60	64	4	37	7	243	397	375	771	131	310	20	19	351	61	—	—	—	—	—	—
2024	17	ROK MLE	DSL Orioles Black	—	198	165	20	5	2	1	28	75	3	20	4	121	262	194	455	73	197	38	14	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Orioles Orange	—	235	193	32	6	2	2	36	58	4	45	8	166	312	249	560	83	211	25	15	253	57	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	320	274	49	12	3	2	39	90	4	37	7	179	292	266	558	88	251	28	12	259	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Orioles Black	—	198	165	20	5	2	1	28	75	3	20	4	121	262	194	455	73	197	38	14	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Orioles Orange	—	235	193	32	6	2	2	36	58	4	45	8	166	312	249	560	83	211	25	15	253	57	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	320	274	49	12	3	2	39	90	4	37	7	179	292	266	558	88	251	28	12	259	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	BAL	0%	430	370	74	17	3	4	53	119	4	18	4	199	306	291	597	92	279	28	12	278	74	-13	+2	-2	+5	+9	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	BAL	25%	265	228	46	10	2	3	32	72	3	10	2	205	311	312	623	107	281	27	12	287	81	-6	+1	-1	+3	+6	0.3
2029	22	MLB MLE	BAL	38%	369	317	68	15	3	6	45	98	4	14	3	211	315	327	642	117	282	27	12	294	85	-6	+2	-1	+4	+8	0.6
2030	23	MLB MLE	BAL	45%	436	376	81	17	3	8	52	115	5	15	3	215	317	338	656	124	284	26	12	299	89	-6	+2	+0	+5	+9	1.1
2031	24	MLB MLE	BAL	48%	475	411	89	19	3	9	56	123	5	16	3	218	319	346	665	128	285	26	12	303	91	-5	+2	+2	+5	+10	1.4
2032	25	MLB MLE	BAL	50%	499	433	95	20	4	10	58	129	5	16	3	219	320	350	670	131	286	26	12	304	92	-5	+2	+3	+5	+11	1.7
2033	26	MLB MLE	BAL	50%	511	441	97	20	4	10	60	132	5	16	3	219	320	350	670	131	285	26	12	304	92	-5	+2	+3	+5	+11	1.7
2034	27	MLB MLE	BAL	50%	512	442	97	20	4	10	60	133	5	16	3	218	319	348	666	129	285	26	12	303	91	-5	+2	+3	+5	+11	1.7
2035	28	MLB MLE	BAL	50%	507	438	95	20	3	10	59	132	5	14	3	216	317	343	660	127	284	26	12	300	89	-6	+2	+3	+5	+11	1.4
2036	29	MLB MLE	BAL	49%	496	430	91	19	3	9	58	131	5	13	3	214	314	337	651	123	283	26	12	297	87	-8	+1	+2	+5	+11	1.2
2037	30	MLB MLE	BAL	52%	485	421	89	19	3	8	56	130	5	12	3	211	311	329	640	118	281	27	12	293	84	-9	+1	+1	+5	+11	0.9
2038	31	MLB MLE	BAL	55%	468	407	84	18	3	7	54	127	4	9	3	207	306	320	626	113	278	27	12	287	80	-11	+1	+0	+5	+10	0.5
2039	32	MLB MLE	BAL	57%	447	389	78	16	3	6	51	123	4	8	3	202	300	308	608	106	274	28	11	280	75	-13	+0	-1	+5	+10	0.1
2028	21	MLB CTX	BAL	25%	66	57	12	3	0	1	8	18	1	3	1	209	314	318	633	110	285	27	12	291	81	-2	+0	-0	+1	+1	0.1
2029	22	MLB CTX	BAL	38%	141	121	26	6	1	2	17	38	2	5	1	214	318	334	652	120	287	27	12	298	85	-2	+1	-0	+2	+3	0.2
2030	23	MLB CTX	BAL	45%	198	170	37	8	1	4	24	52	2	7	1	218	321	346	666	128	288	26	12	303	89	-3	+1	+0	+2	+4	0.5
2031	24	MLB CTX	BAL	48%	228	197	43	9	2	4	27	59	2	8	2	221	322	354	676	132	290	26	12	307	91	-2	+1	+1	+2	+5	0.7
2032	25	MLB CTX	BAL	50%	248	214	48	10	2	5	29	64	3	8	2	223	323	359	681	135	290	26	12	309	92	-2	+1	+2	+3	+5	0.8
2033	26	MLB CTX	BAL	50%	258	223	50	11	2	5	30	66	3	8	2	223	323	358	681	135	290	26	12	309	92	-2	+1	+2	+3	+6	0.9
2034	27	MLB CTX	BAL	50%	256	221	49	10	2	5	30	66	3	8	2	222	322	356	678	134	289	26	12	307	91	-3	+1	+2	+3	+6	0.8
2035	28	MLB CTX	BAL	50%	252	218	48	10	2	5	29	66	3	7	2	220	320	351	671	131	288	26	12	305	89	-3	+1	+1	+3	+5	0.7
2036	29	MLB CTX	BAL	49%	241	209	47	10	2	5	28	64	2	6	1	218	317	345	662	127	287	27	12	301	87	-4	+1	+1	+3	+5	0.6
2037	30	MLB CTX	BAL	52%	253	220	48	10	2	5	29	68	2	6	1	215	314	337	651	122	285	27	11	297	84	-5	+1	+1	+3	+5	0.5
2038	31	MLB CTX	BAL	55%	258	224	47	10	2	4	30	70	2	5	2	211	309	327	636	116	282	27	12	291	80	-6	+0	+0	+3	+6	0.3
2039	32	MLB CTX	BAL	57%	256	223	47	10	2	4	29	71	2	4	2	205	303	314	617	109	279	28	11	283	75	-8	+0	-0	+3	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2655	2297	502	107	20	49	310	702	27	75	19	219	319	347	665	128	291	26	12	301	82	-42	+7	+8	+28	+58	6.0
/ 162G	—	A+C		—	650	562	123	26	5	12	76	172	7	18	5	219	319	347	666	128	291	26	12	301	82	-10	+2	+2	+7	+14	1.5
Career	—	MLE		—	6429	5537	1147	244	47	103	769	1725	68	269	56	207	311	324	635	117	279	27	12	290	82	-92	+19	+14	+61	+123	12.7
/ 162G	—	MLE		—	650	560	116	25	5	10	78	174	7	27	6	207	312	323	635	116	280	27	12	290	82	-11	+2	+2	+7	+14	1.5

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 Orioles · 196 PAwOBA .411 → .296 (−115)K% 16.8% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.84%	÷1.000	×1.440	—	—	24.24%
BB% (unintentional) /PA	22.96%	÷1.000	×0.620	—	×1.008	14.34%
HBP% /PA	1.53%	—	×0.720	—	×1.008	1.11%
Singles /BIP	19.64%	÷1.000	×0.820	×0.950	×1.008	15.42%
Doubles /BIP	10.71%	÷1.000	×0.720	×0.950	×1.008	7.38%
Triples /BIP	3.57%	÷1.000	×0.720	×0.950	×1.008	2.46%
Home runs /BIP	2.68%	÷1.000	×0.780	—	×1.008	2.10%

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 ×0.950.

Result: wOBA .411 → .296; ISO .200 → .152; BABIP .342 → .254. 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 ADelmarva Shorebirds · 124 PAwOBA .245 → .200 (−45)K% 25.0% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.000	×1.360	—	—	34.00%
BB% (unintentional) /PA	12.10%	÷1.000	×0.690	—	×1.045	8.72%
HBP% /PA	0.81%	—	×0.780	—	×1.045	0.66%
Singles /BIP	21.33%	÷1.000	×0.920	×0.989	×1.045	20.28%
Doubles /BIP	5.33%	÷1.000	×0.830	×0.989	×1.045	4.57%
Triples /BIP	0.00%	÷1.000	×0.910	×0.989	×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 ×0.989.

Result: wOBA .245 → .200; ISO .038 → .030; BABIP .263 → .245. 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 Orioles Orange · 235 PAwOBA .375 → .253 (−121)K% 20.4% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.43%	÷1.009	×1.220	—	—	24.69%
BB% (unintentional) /PA	21.70%	÷1.001	×0.700	—	×1.008	15.29%
HBP% /PA	1.70%	—	×0.700	—	×1.008	1.20%
Singles /BIP	24.22%	÷0.989	×0.680	×0.950	×1.008	15.94%
Doubles /BIP	7.03%	÷1.010	×0.600	×0.950	×1.008	4.00%
Triples /BIP	2.34%	÷1.150	×0.600	×0.950	×1.008	1.17%
Home runs /BIP	2.34%	÷0.913	×0.470	—	×1.008	1.22%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 98, 2B 102, 3B 130, K 102, BB 100 — 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 .375 → .253; ISO .136 → .078; BABIP .339 → .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 Orioles Black · 198 PAwOBA .331 → .220 (−111)K% 30.3% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.30%	÷0.977	×1.220	—	—	37.86%
BB% (unintentional) /PA	19.19%	÷0.964	×0.700	—	×1.022	14.25%
HBP% /PA	1.52%	—	×0.700	—	×1.022	1.08%
Singles /BIP	19.15%	÷1.067	×0.680	×1.007	×1.022	12.57%
Doubles /BIP	8.51%	÷0.988	×0.600	×1.007	×1.022	5.32%
Triples /BIP	3.19%	÷1.000	×0.600	×1.007	×1.022	1.97%
Home runs /BIP	3.19%	÷0.988	×0.470	—	×1.022	1.55%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 113, 2B 98, 3B 100, K 95, BB 93 — 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 ×1.007.

Result: wOBA .331 → .220; ISO .149 → .084; BABIP .312 → .197. 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
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.3	2,861	49	84	213	311	334	+31	+28	7.0	6.1
/162	664	11	19	+7.1	+6.5	1.6	pk7: 5
#5Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
#6Pokey Reese'97-'04 * career totals — 8 seasons, 3,138 PA	4.7	3,138	44	144	238*	292*	339*	+19	+41	4.0	4.7
/162	664	9	30	+4.0	+8.7	0.8	pk7: 5

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
Jemone Nuel (OGILVIE)	20	—	—	—	—	197/303/289	92	279	2	8	28%	12%	74	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Pinto 2023 · A	20	47	40→45	60→65	53	222/313/322	100	267	5	29	18%	9%	84	+0.1	234/309/354	120	293	11	18	23%	8%	90	+0.6	231/312/342	111	292	7	11	21%	9%	84	+0.0
✕Keiner Delgado 2024 · A	20	44→49	41→45	58→60	59	210/316/313	103	251	8	30	19%	12%	84	+0.1	209/286/310	101	279	11	21	27%	8%	72	-0.7	209/287/310	101	279	12	22	28%	8%	69	-0.7
✕Leo Rivas 2018 · A	20	47→56	37→40	56→65	55	217/314/292	75	284	3	19	23%	11%	78	-0.3	191/275/274	83	293	5	10	33%	10%	59	-1.7	244/357/336	92	322	8	44	24%	14%	103	+1.0
✕Ricardo Ferreira 2015 · A	20	46	36→30	55→60	54	207/312/275	67	298	3	21	28%	12%	74	-0.6	231/313/303	72	312	3	22	24%	10%	79	-0.2	242/324/311	68	323	3	29	23%	10%	82	+0.0
✕Juan Matheus 2024 · A	20	42→46	38→45	53→55	59	192/312/281	89	273	4	21	28%	14%	76	-0.4	215/292/311	96	283	7	20	24%	9%	73	-0.6	219/288/322	102	278	9	23	23%	8%	72	-0.5
✕Jett Williams 2024 · AA	20	44→48	45→50	60→55	54	209/324/338	129	296	11	25	30%	12%	93	+0.8	216/310/345	129	299	10	23	28%	11%	88	+0.4	214/300/348	134	288	11	26	27%	10%	82	+0.0
✕Hoy Park 2017 · A	21	41→51	39→45	59→55	46	195/272/287	91	280	4	17	30%	9%	60	-1.6	220/296/307	87	294	6	17	25%	9%	74	-0.6	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Dalton Pompey 2014 · A	21	45→55	40→45	57→55	45	215/282/314	100	299	6	21	29%	8%	70	-0.9	257/316/365	108	333	7	26	23%	8%	93	+0.8	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Masyn Winn 2022 · A	20	43→53	40→50	57→55	43	207/267/301	93	294	6	22	30%	7%	61	-1.5	237/294/369	132	297	12	21	23%	7%	86	+0.3	245/302/388	143	293	14	19	20%	7%	93	+0.8
✕Carlos Willoughby 2009 · A	20	44→43	34→40	58→60	53	204/295/255	51	259	1	25	20%	10%	62	-1.4	210/293/276	66	262	2	26	19%	9%	65	-1.2	205/284/272	67	257	1	27	19%	8%	59	-1.0
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8
✕Jared Serna 2022 · A	20	40→48	38→45	56→50	56	186/292/266	79	230	4	22	19%	11%	65	-1.2	214/282/332	118	267	11	17	23%	7%	74	-0.5	217/275/346	129	264	14	15	23%	6%	72	-0.5
✕Jaison Chourio 2024 · A	19	49→55	36→40	55	55	224/319/299	75	316	2	18	27%	12%	80	-0.1	232/327/322	90	320	6	23	26%	12%	88	+0.5	235/331/328	92	319	6	27	25%	12%	90	+0.4
✕Brainer Bonaci 2023 · A	21	45→46	40→45	55→50	53	211/302/310	100	290	7	16	27%	11%	77	-0.3	227/287/348	121	312	12	11	29%	8%	80	-0.2	232/274/365	133	311	17	8	30%	5%	76	-0.3
✕Delino DeShields 2013 · A	20	47→56	42→45	61→65	45	227/292/330	103	308	9	36	28%	8%	77	-0.3	238/310/344	106	319	7	37	26%	8%	87	+0.4	239/317/344	105	318	6	38	24%	9%	86	+0.3
✕Luis Durango 2024 · A	21	47	35→30	57→70	48	219/296/278	59	287	3	29	23%	8%	68	-1.0	227/289/285	58	305	2	36	24%	5%	65	-1.2	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Jay Allen II 2023 · A	20	44→47	40→45	60→55	44	207/294/300	93	300	7	32	30%	8%	72	-0.7	192/283/280	88	280	8	28	32%	8%	64	-1.3	202/286/304	103	275	11	24	29%	7%	68	-0.8
✕Jose Acosta 2021 · A	21	49	39→45	58→55	47	228/296/323	95	304	5	19	25%	8%	77	-0.3	200/256/315	115	309	11	15	37%	6%	61	-1.5	169/224/283	115	241	12	19	35%	6%	39	-1.1
✕Ian Lewis Jr. 2023 · A	20	48→41	40→45	57→60	43	226/281/324	98	306	7	17	27%	6%	72	-0.7	215/273/311	96	289	7	22	26%	7%	65	-1.2	205/264/312	107	257	10	33	24%	7%	60	-0.9
✕Geraldo Quintero 2023 · A	21	45→47	41→40	56→60	47	216/284/325	109	278	7	20	24%	8%	73	-0.6	213/279/301	88	280	6	26	25%	7%	66	-1.1	202/273/285	83	265	7	32	25%	7%	57	-1.2

Jemone Nuel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps