Jhonny Level

SS Eugene Emeralds

Age 20 S/R 5'8" / 186 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

Overview

A+PROSPECTMiLBFA 2036

OGV OFP50OGV rank#37ETA2028MLB%4%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Giants Bl…	215	.275/.394/.517	10	18	55	—	.172/.277/.285
2025	18	A/ROKSF	408	.269/.368/.436	12	21	66	—	.212/.283/.333
2026	19	A+/A/INTL2 orgs	572	.310/.378/.516	19	28	113	—	.276/.332/.444
2027PROJMLE	20	MLBSF	9	.241/.299/.380	0	0	94	0.0
2028PROJ45% MLB	21	MLBSF	233	.245/.306/.396	6	6	101	0.9
2029PROJ62% MLB	22	MLBSF	336	.249/.311/.407	10	9	106	1.4

Next 3 projected WAR 2.3Projected 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$7M2034Arb-2$12M+1

Skills · percentileMiLB Statcast 2026 A+

Z-Con%83

K%81

Whiff%76

wRC+73

wOBA67

ISO60

Career WAR2.9 WAR median (P10 -0.7 / P90 58, comp-based) · star 16% · didn't stick 48%

CompsAdael Amador (age 20) · Pedro Ramírez (age 20) · Wander Franco (age 20)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†94

AVG/OBP/SLG.241 / .299 / .380

PA9

HR0

K%22

BB%11

BABIP287

ISO141

MLB%4%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$80M 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	+1.8	$11M	+$11M
2031	Pre-Arb	$0.9M	+2.1	$12M	+$12M
2032	Pre-Arb	$0.9M	+2.2	$12M	+$12M
2033	Arb-1	$7M	+2.2	$11M	+$7M
2034	Arb-2	$12M	+2.1	$10M	+$4M
2035	Arb-3	$16M	+2.0	$9M	+$2M
Totals		$37M		$66M	+$48M

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 Giants Black	—	215	178	49	11	1	10	30	36	5	18	9	275	394	517	911	242	293	17	14	398	55	—	—	—	—	—	—
2025	18	A	San Jose Giants	—	147	127	30	2	1	3	17	30	2	4	2	236	336	339	674	102	284	20	12	309	53	—	—	—	—	—	—
2025	18	ROK	ACL Giants	—	261	219	63	10	4	9	33	40	2	17	5	288	386	493	879	205	305	15	13	378	74	—	—	—	—	—	—
2026	19	A+	Eugene Emeralds	—	331	298	90	25	1	8	26	60	4	15	7	302	366	473	839	171	352	18	8	369	98	—	—	—	—	—	—
2026	19	A	San Jose Giants	—	217	191	62	14	2	10	17	36	6	11	2	325	397	576	973	251	351	17	8	419	130	—	—	—	—	—	—
2026	19	INTL	Aguilas del Zulia	—	24	21	6	1	1	1	3	4	0	2	1	286	375	571	946	286	312	17	12	408	162	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Black	—	215	186	32	7	1	4	22	45	5	18	9	172	277	285	562	113	192	21	10	249	55	—	—	—	—	—	—
2025	18	A MLE	San Jose Giants	—	147	132	26	1	1	2	12	42	2	4	2	197	274	265	539	68	275	29	8	246	53	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	261	232	51	8	3	7	20	55	2	17	5	220	287	371	658	151	233	21	8	277	74	—	—	—	—	—	—
2026	19	A+ MLE	Eugene Emeralds	—	331	304	81	21	1	7	20	81	4	15	7	266	320	411	731	145	331	24	6	313	98	—	—	—	—	—	—
2026	19	A MLE	San Jose Giants	—	217	196	57	12	2	8	12	49	6	11	2	291	350	495	845	204	334	23	6	360	130	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	215	186	32	7	1	4	22	45	5	18	9	172	277	285	562	113	203	21	10	249	55	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Black	—	215	178	49	11	1	10	30	36	5	18	9	275	394	517	911	242	293	17	14	398	55	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	408	365	76	9	4	8	31	98	4	21	7	208	278	321	598	112	255	24	8	266	66	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	408	346	93	12	5	12	50	70	4	21	7	269	367	436	804	168	298	17	12	353	66	—	—	—	—	—	—
2026	19	A+ MLE	3 teams	—	572	524	144	35	3	15	32	136	10	28	10	275	329	439	768	164	340	24	6	332	111	—	—	—	—	—	—
2026	19	A+ RAW	3 teams	—	572	510	158	40	4	19	46	100	10	28	10	310	378	516	894	206	350	17	8	389	111	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	215	186	32	7	1	4	22	45	5	18	9	172	277	285	562	113	192	21	10	249	55	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	408	370	76	9	4	8	31	98	4	21	7	205	278	316	594	111	248	24	8	266	66	—	—	—	—	—	—
2026	19	A+ MLE	3 teams	—	572	525	144	35	3	15	32	136	10	28	10	274	329	438	767	164	332	24	6	332	111	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Giants Black	—	215	186	32	7	1	4	22	45	5	18	9	172	277	285	562	113	192	21	10	249	55	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	408	370	76	9	4	8	31	98	4	21	7	205	278	316	594	111	248	24	8	266	66	—	—	—	—	—	—
2026	19	A+ MLE	3 teams	—	572	525	144	35	3	15	32	136	10	28	10	274	329	438	767	164	332	24	6	332	111	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SF	4%	646	592	146	31	4	16	40	137	9	16	6	245	303	390	693	145	290	21	6	308	94	-4	+1	+0	+7	+14	0.7
▸ 2027 — real world (MLB)
2027	20	MLB CTX	SF	4%	9	8	1	0	0	0	1	2	0	0	0	241	299	380	679	139	287	22	11	302	94	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SF	45%	517	471	119	25	3	15	34	107	7	13	4	250	311	408	718	158	291	21	7	318	101	+1	+1	+0	+6	+11	1.9
2029	22	MLB MLE	SF	62%	546	496	126	26	3	17	37	110	8	14	5	254	316	419	735	166	292	20	7	325	106	+4	+1	+1	+6	+12	2.3
2030	23	MLB MLE	SF	68%	560	508	131	27	3	18	39	111	8	14	4	256	319	426	745	170	292	20	7	329	109	+6	+1	+1	+6	+12	2.7
2031	24	MLB MLE	SF	70%	578	523	134	27	3	19	42	115	8	14	4	257	321	430	751	173	293	20	7	331	110	+7	+1	+2	+6	+13	3.0
2032	25	MLB MLE	SF	70%	590	534	138	28	3	20	43	117	8	13	4	257	322	431	753	174	293	20	7	332	111	+8	+1	+2	+6	+13	3.1
2033	26	MLB MLE	SF	71%	599	542	139	28	3	20	44	119	8	13	4	257	322	430	753	173	293	20	7	332	111	+8	+1	+3	+6	+13	3.1
2034	27	MLB MLE	SF	69%	596	539	139	28	3	20	44	119	8	12	4	256	321	428	749	172	293	20	7	331	110	+7	+1	+3	+6	+13	3.0
2035	28	MLB MLE	SF	74%	585	530	135	27	3	19	43	118	7	11	4	254	319	424	743	169	292	20	7	328	108	+6	+1	+2	+6	+13	2.8
2036	29	MLB MLE	SF	70%	568	514	130	26	3	18	42	117	7	9	4	252	317	418	734	166	291	21	7	325	106	+4	+0	+1	+6	+12	2.4
2037	30	MLB MLE	SF	74%	552	500	125	25	3	17	40	115	7	7	3	249	313	410	724	161	290	21	7	321	103	+2	+0	+0	+6	+12	2.1
2038	31	MLB MLE	SF	76%	534	485	119	24	2	16	38	113	6	5	4	245	309	401	710	156	287	21	7	315	99	-0	-1	-1	+6	+12	1.6
2039	32	MLB MLE	SF	78%	511	464	111	22	2	14	36	111	6	3	9	240	303	389	691	148	284	22	7	307	94	-4	-3	-1	+5	+11	0.9
2040	33	MLB MLE	SF	79%	476	435	102	20	2	12	33	106	5	4	11	234	295	373	668	140	279	22	7	298	88	-7	-4	-2	+5	+10	0.3
2041	34	MLB MLE	SF	75%	419	384	87	16	2	10	28	96	4	2	33	226	285	355	640	129	273	23	7	286	80	-10	-13	-3	+4	+9	-1.3
2028	21	MLB CTX	SF	45%	233	213	52	11	1	6	15	48	3	6	2	245	306	396	703	151	287	21	6	312	101	+0	+0	+0	+2	+5	0.9
2029	22	MLB CTX	SF	62%	336	305	77	16	2	10	23	68	5	9	3	249	311	407	718	158	288	20	7	318	106	+2	+1	+0	+4	+7	1.4
2030	23	MLB CTX	SF	68%	383	348	87	18	2	11	27	76	5	10	3	251	314	413	727	162	288	20	7	322	109	+4	+1	+1	+4	+8	1.8
2031	24	MLB CTX	SF	70%	403	366	92	19	2	12	29	80	5	10	3	252	317	417	733	165	289	20	7	324	110	+5	+1	+1	+4	+9	2.1
2032	25	MLB CTX	SF	70%	415	376	95	20	2	13	30	83	6	9	3	252	317	418	735	165	289	20	7	325	111	+5	+1	+2	+4	+9	2.2
2033	26	MLB CTX	SF	71%	423	383	96	20	2	13	31	84	6	9	3	252	317	417	735	165	289	20	7	325	111	+6	+1	+2	+5	+9	2.2
2034	27	MLB CTX	SF	69%	413	374	94	19	2	13	31	83	5	9	3	251	317	415	732	164	288	20	8	324	110	+5	+1	+2	+4	+9	2.1
2035	28	MLB CTX	SF	74%	434	393	98	20	2	13	32	88	6	8	3	249	315	411	726	161	288	20	7	321	108	+4	+0	+1	+5	+9	2.0
2036	29	MLB CTX	SF	70%	398	361	89	18	2	12	29	82	5	6	2	247	312	405	717	158	287	21	7	318	106	+3	+0	+1	+4	+9	1.7
2037	30	MLB CTX	SF	74%	407	369	90	19	2	11	30	85	5	5	3	245	309	398	707	154	286	21	7	314	103	+1	-0	+0	+4	+9	1.5
2038	31	MLB CTX	SF	76%	408	371	89	18	2	11	29	87	5	4	3	241	304	389	694	148	283	21	7	308	99	-0	-0	-0	+4	+9	1.2
2039	32	MLB CTX	SF	78%	399	364	85	17	2	10	28	87	4	2	7	236	298	377	676	142	280	22	7	301	94	-3	-2	-1	+4	+9	0.7
2040	33	MLB CTX	SF	79%	378	345	79	16	1	9	26	84	4	3	8	229	291	363	654	133	275	22	7	292	88	-6	-3	-2	+4	+8	0.2
2041	34	MLB CTX	SF	75%	314	287	63	12	1	7	21	72	3	2	25	221	282	345	626	123	269	23	7	281	80	-8	-10	-2	+3	+7	-0.9
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5344	4855	1186	243	25	151	381	1107	67	92	71	244	308	398	706	154	286	21	7	314	101	+20	-10	+4	+57	+116	19.1
/ 162G	—	A+C		—	650	591	144	30	3	18	46	135	8	11	9	244	307	396	703	152	286	21	7	314	101	+2	-1	+1	+7	+14	2.3
Career	—	MLE		—	9036	8192	2034	410	47	267	641	1898	119	206	125	248	312	408	720	159	290	21	7	317	101	+30	-12	+7	+84	+170	28.5
/ 162G	—	MLE		—	650	589	145	29	3	19	46	137	9	15	9	246	311	402	713	156	288	21	7	317	101	+2	-1	+1	+7	+14	2.4

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 A+Eugene Emeralds · 331 PAwOBA .362 → .313 (−50)K% 18.1% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.13%	÷1.000	×1.350	—	—	24.47%
BB% (unintentional) /PA	7.85%	÷1.000	×0.710	—	×1.050	5.86%
HBP% /PA	1.21%	—	×0.810	—	×1.050	1.03%
Singles /BIP	23.53%	÷1.000	×0.910	×1.018	×1.050	22.88%
Doubles /BIP	10.50%	÷1.000	×0.830	×1.018	×1.050	9.32%
Triples /BIP	0.42%	÷1.000	×0.820	×1.018	×1.050	0.37%
Home runs /BIP	3.36%	÷1.000	×0.830	—	×1.050	2.93%

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 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .362 → .313; ISO .171 → .144; BABIP .352 → .331. 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 ASan Jose Giants · 217 PAwOBA .412 → .360 (−51)K% 16.6% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.59%	÷1.000	×1.360	—	—	22.56%
BB% (unintentional) /PA	7.37%	÷1.000	×0.690	—	×1.045	5.32%
HBP% /PA	2.76%	—	×0.780	—	×1.045	2.25%
Singles /BIP	23.23%	÷1.000	×0.920	×1.029	×1.045	22.98%
Doubles /BIP	9.03%	÷1.000	×0.830	×1.029	×1.045	8.06%
Triples /BIP	1.29%	÷1.000	×0.910	×1.029	×1.045	1.26%
Home runs /BIP	6.45%	÷1.000	×0.800	—	×1.045	5.39%

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 ×1.029.

Result: wOBA .412 → .360; ISO .251 → .212; BABIP .351 → .334. 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 ROKACL Giants · 261 PAwOBA .379 → .277 (−102)K% 15.3% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.33%	÷1.045	×1.440	—	—	21.11%
BB% (unintentional) /PA	12.64%	÷1.070	×0.620	—	×1.022	7.49%
HBP% /PA	0.77%	—	×0.720	—	×1.022	0.56%
Singles /BIP	22.35%	÷1.042	×0.820	×0.992	×1.022	17.85%
Doubles /BIP	5.59%	÷1.001	×0.720	×0.992	×1.022	4.08%
Triples /BIP	2.23%	÷1.150	×0.720	×0.992	×1.022	1.42%
Home runs /BIP	5.03%	÷1.128	×0.780	—	×1.022	3.56%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .379 → .277; ISO .205 → .148; BABIP .305 → .233. 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 ASan Jose Giants · 147 PAwOBA .304 → .246 (−58)K% 20.4% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.41%	÷0.962	×1.360	—	—	28.86%
BB% (unintentional) /PA	11.56%	÷1.055	×0.690	—	×1.050	7.94%
HBP% /PA	1.36%	—	×0.780	—	×1.050	1.11%
Singles /BIP	24.74%	÷1.007	×0.920	×1.031	×1.050	24.48%
Doubles /BIP	2.06%	÷1.138	×0.830	×1.031	×1.050	1.63%
Triples /BIP	1.03%	÷0.902	×0.910	×1.031	×1.050	1.13%
Home runs /BIP	3.09%	÷1.358	×0.800	—	×1.050	1.91%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 172, 1B 101, 2B 128, 3B 80, K 92, BB 111 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .304 → .246; ISO .102 → .069; BABIP .284 → .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).

2024 DSLDSL Giants Black · 215 PAwOBA .390 → .249 (−140)K% 16.7% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.74%	÷0.977	×1.220	—	—	20.91%
BB% (unintentional) /PA	13.95%	÷0.971	×0.700	—	×1.022	10.28%
HBP% /PA	2.33%	—	×0.700	—	×1.022	1.66%
Singles /BIP	19.01%	÷0.982	×0.680	×1.020	×1.022	13.73%
Doubles /BIP	7.75%	÷1.057	×0.600	×1.020	×1.022	4.59%
Triples /BIP	0.70%	÷1.127	×0.600	×1.020	×1.022	0.39%
Home runs /BIP	7.04%	÷1.092	×0.470	—	×1.022	3.10%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 96, 2B 111, 3B 125, K 95, BB 94 — 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 ×1.020.

Result: wOBA .390 → .249; ISO .242 → .119; BABIP .293 → .192. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jay Bell'86-'03 * career totals — 17 seasons, 8,525 PA	12.8	8,525	195	91	257*	334*	419*	+73	+9	39.1	36.0
/162	664	15	7	+5.7	+0.7	3.0	pk7: 33
#2Stephen Drewlast yr '17 career totals — 12 seasons, 4,917 PA	7.4	4,917	123	41	252	318	423	+48	+35	26.3	25.1
/162	664	17	6	+6.5	+4.7	3.5	pk7: 24
#3Robby Thompson'86-'96 * career totals — 11 seasons, 5,235 PA	7.9	5,235	119	103	254*	327*	426*	+19	+20	25.4	24.6
/162	664	15	13	+2.4	+2.5	3.2	pk7: 24
#4Phil Garner'73-'88 * career totals — 13 seasons, 6,860 PA	10.3	6,860	109	225	256*	321*	420*	+25	+14	26.6	24.1
/162	664	11	22	+2.5	+1.3	2.6	pk7: 22
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	8.1	5,354	163	91	251	310	413	+55	+18	21.1	18.0
/162	664	20	11	+6.8	+2.2	2.6	pk7: 15
#5Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#6Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13

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
Jhonny Level (OGILVIE)	20	—	—	—	—	243/300/387	144	290	5	5	21%	6%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adael Amador 2023 · A	20	53→56	46→50	46→55	55	258/340/385	126	301	13	14	18%	10%	108	+1.9	241/316/374	133	282	15	21	19%	9%	97	+1.1	231/310/357	126	266	13	22	18%	9%	88	+0.4
✕Pedro Ramírez 2024 · A	20	48→57	42→45	51→55	48	234/298/345	111	291	9	14	22%	7%	82	+0.0	255/308/360	105	318	8	17	21%	6%	90	+0.6	265/318/375	110	323	9	22	20%	6%	95	+0.8
●Wander Franco 2021 · A	20	55→60	45→55	47→55	53	268/323/398	130	287	11	10	12%	8%	104	+1.6	274/329/434	160	298	14	14	13%	7%	114	+2.4	280/337/455	175	300	16	20	12%	7%	122	+2.2
✕Hao-Yu Lee 2023 · A	20	49→51	44→50	48→55	46	237/306/359	122	312	12	12	27%	8%	89	+0.5	247/312/378	131	315	13	16	24%	7%	96	+1.0	253/317/409	156	313	15	15	23%	7%	103	+1.2
✕Cole Young 2023 · A	20	51→52	45	49→50	47	249/304/371	122	299	13	11	21%	7%	91	+0.6	242/328/367	125	291	10	13	19%	10%	99	+1.3	240/330/363	124	285	10	12	18%	10%	97	+1.0
✕Juan Brito 2023 · A	21	48→50	45→50	48→45	53	234/319/371	136	287	12	11	22%	10%	97	+1.1	231/311/367	136	281	13	9	21%	10%	93	+0.8	225/308/360	135	270	13	9	21%	10%	89	+0.4
●Sal Stewart 2024 · A	20	49→53	43→55	48→50	55	236/321/346	110	286	11	10	21%	11%	92	+0.7	249/321/397	148	298	16	12	21%	9%	104	+1.6	255/323/425	170	297	21	13	21%	8%	109	+1.8
✕Edgar Quero 2023 · A	20	50→58	50	47→40	51	245/343/412	167	321	17	8	27%	10%	116	+2.5	248/329/371	123	310	12	3	22%	9%	101	+1.4	253/330/357	104	310	11	1	21%	9%	97	+0.8
✕Alen Hanson 2013 · A	20	49→53	46→50	56→60	45	241/296/389	148	299	11	20	23%	7%	92	+0.7	244/285/377	133	308	10	22	23%	5%	84	+0.2	253/288/390	138	302	12	30	20%	4%	87	+0.3
●Brett Lawrie 2010 · AA	20	47→57	46→55	47→55	44	234/286/363	129	291	13	12	24%	6%	82	+0.0	262/312/422	160	320	13	18	21%	6%	105	+1.7	272/324/442	170	325	14	20	20%	6%	113	+2.1
●Evan Carter 2023 · AA	20	48→55	46→50	55	52	233/315/374	141	290	12	21	23%	10%	96	+1.0	239/326/389	150	309	14	21	25%	10%	103	+1.6	237/330/391	154	306	15	24	25%	10%	104	+0.9
●Royce Lewis 2019 · A	20	49→51	43→60	53→50	45	240/293/355	115	293	11	17	22%	6%	83	+0.1	213/260/318	105	291	9	15	29%	5%	62	-1.4	262/323/475	213	304	29	14	24%	8%	123	+1.4
●J.P. Crawford 2015 · A	20	54→57	41→45	46→50	52	258/327/358	100	312	9	15	20%	9%	96	+1.0	243/315/344	101	290	8	10	18%	9%	88	+0.5	261/352/384	123	304	11	2	17%	11%	113	+2.4
●Jackson Merrill 2024 · AA	21	51→57	47→60	51→50	45	253/296/391	138	291	15	12	19%	6%	93	+0.8	269/311/450	181	310	20	13	20%	6%	112	+2.2	269/313/462	193	313	22	15	21%	6%	117	+2.5
●Moisés Ballesteros 2024 · AA	20	46→56	46→50	49→40	50	228/297/354	126	275	14	5	22%	9%	84	+0.2	255/315/385	130	307	14	4	21%	8%	99	+1.2	258/320/384	126	307	14	3	20%	8%	99	+1.1
✕Nick Franklin 2011 · A	20	44→51	50	50	40	228/276/382	153	294	19	13	29%	6%	84	+0.1	239/294/375	136	309	13	13	26%	7%	88	+0.5	240/308/375	135	306	13	12	25%	9%	92	+0.7
✕Brayan Rocchio 2022 · AA	21	47→56	46→45	50	40	230/288/366	136	303	13	16	28%	5%	84	+0.2	237/302/360	123	291	11	15	21%	7%	88	+0.4	235/306/352	117	282	10	15	20%	8%	86	+0.3
✕Hank Conger 2008 · A	20	48→58	47→50	48→45	43	241/281/376	136	287	14	9	22%	5%	84	+0.1	255/300/394	139	301	15	4	20%	6%	95	+0.9	260/314/394	134	302	14	2	18%	7%	99	+0.9
●Kolten Wong 2012 · A	21	52→58	45→50	48→55	48	253/304/381	129	285	11	12	16%	6%	93	+0.8	259/304/373	114	299	10	19	16%	5%	91	+0.6	272/342/411	139	310	13	20	16%	7%	116	+1.7
✕Angel Martínez 2023 · AA	21	46→50	45→50	48→50	47	228/296/358	131	289	11	11	25%	8%	86	+0.3	231/289/358	127	289	12	10	23%	7%	82	+0.0	236/284/389	154	280	16	12	22%	5%	89	+0.4

Jhonny Level

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps