Joswa Lugo

SS ACL Angels

Age 20 R/R 6'3" / 187 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP40OGV rank#270ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKLAA	219	.301/.375/.466	5	18	35	—	.176/.241/.256
2025	18	ROKLAA	152	.271/.377/.372	2	1	46	—	.197/.272/.277
2026	19	A/ROKLAA	357	.264/.380/.448	11	2	71	—	.197/.287/.321
2027PROJMLE	20	MLBLAA	467	.208/.285/.328	10	6	74	0.1
2028PROJ34% MLB	21	MLBLAA	108	.214/.292/.350	3	2	83	0.1
2029PROJ48% MLB	22	MLBLAA	197	.220/.298/.370	6	4	89	0.3

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$5M2034Arb-2$7M+1

Skills · percentileMiLB Statcast 2026 A

ISO47

K%45

Speed29

wOBA22

wRC+19

Chase%18

Career WAR0.0 WAR median (P10 0.0 / P90 1.4, comp-based) · star 1% · didn't stick 91%

CompsAgustín Ramírez (age 21) · Miguel Amaya (age 20) · Bo Naylor (age 21)

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

wRC+†74

AVG/OBP/SLG.206 / .283 / .325

PA210

HR4

K%29

BB%8

ISO120

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$21M 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	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2033	Arb-1	$5M	+1.0	$5M	+$3M
2034	Arb-2	$7M	+1.0	$5M	+$1M
2035	Arb-3	$10M	+0.9	$2M	+$0.0M (cut)
Totals		$15M		$21M	+$12M

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 Angels	—	219	193	58	11	3	5	17	51	6	18	5	301	375	466	841	166	379	23	8	370	35	—	—	—	—	—	—
2025	18	ROK	ACL Angels	—	152	129	35	7	0	2	19	40	3	1	4	271	377	372	750	101	375	26	12	343	46	—	—	—	—	—	—
2026	19	A	Rancho Cucamonga Quakes	—	116	103	24	4	0	3	8	29	3	1	0	233	307	359	666	126	288	25	7	298	51	—	—	—	—	—	—
2026	19	ROK	ACL Angels	—	241	196	55	14	2	8	37	54	8	1	1	281	415	495	910	214	351	22	15	405	80	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Angels	—	219	199	35	6	2	2	11	60	6	18	5	176	241	256	497	80	226	27	5	220	35	—	—	—	—	—	—
2025	18	ROK MLE	ACL Angels	—	152	137	27	5	0	2	11	59	3	1	4	197	272	277	549	80	310	39	7	236	46	—	—	—	—	—	—
2026	19	A MLE	Rancho Cucamonga Quakes	—	116	105	20	3	0	2	6	39	3	1	0	190	254	276	531	86	269	34	5	243	51	—	—	—	—	—	—
2026	19	ROK MLE	ACL Angels	—	241	210	42	10	1	6	23	78	8	1	1	200	303	343	646	143	288	32	10	287	80	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	219	199	35	6	2	2	11	60	6	18	5	176	241	256	497	80	236	27	5	220	35	—	—	—	—	—	—
2024	17	ROK RAW	DSL Angels	—	219	193	58	11	3	5	17	51	6	18	5	301	375	466	841	166	379	23	8	370	35	—	—	—	—	—	—
2025	18	ROK MLE	ACL Angels	—	152	137	27	5	0	2	11	59	3	1	4	197	272	277	549	80	325	39	7	236	46	—	—	—	—	—	—
2025	18	ROK RAW	ACL Angels	—	152	129	35	7	0	2	19	40	3	1	4	271	377	372	750	101	375	26	12	343	46	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	357	315	63	13	1	8	29	117	11	2	1	200	290	324	614	124	286	33	8	273	71	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	357	299	79	18	2	11	45	83	11	2	1	264	380	448	828	184	329	23	13	370	71	—	—	—	—	—	—
2024	17	ROK MLE	DSL Angels	—	219	200	35	6	2	2	11	60	6	18	5	175	241	255	496	80	226	27	5	220	35	—	—	—	—	—	—
2025	18	ROK MLE	ACL Angels	—	152	137	27	5	0	2	11	59	3	1	4	197	272	277	549	80	310	39	7	236	46	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	357	314	63	13	1	8	29	117	11	2	1	201	290	325	615	124	282	33	8	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Angels	—	219	200	35	6	2	2	11	60	6	18	5	175	241	255	496	80	226	27	5	220	35	—	—	—	—	—	—
2025	18	ROK MLE	ACL Angels	—	152	137	27	5	0	2	11	59	3	1	4	197	272	277	549	80	310	39	7	236	46	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	357	314	63	13	1	8	29	117	11	2	1	201	290	325	615	124	282	33	8	273	71	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAA	0%	467	419	88	18	2	10	36	136	9	6	3	208	285	328	613	120	279	29	8	278	74	-14	+0	-2	+5	+10	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAA	34%	314	280	60	12	1	8	25	89	6	5	2	215	293	352	644	137	281	28	8	290	83	-6	+0	-1	+3	+7	0.3
2029	22	MLB MLE	LAA	48%	407	364	81	16	2	12	32	114	8	7	4	221	299	371	670	150	283	28	8	300	89	-5	-0	-1	+4	+9	0.7
2030	23	MLB MLE	LAA	54%	455	406	93	18	2	15	37	125	9	9	4	225	303	385	688	159	285	27	8	307	94	-3	+0	-1	+5	+10	1.1
2031	24	MLB MLE	LAA	55%	501	446	102	19	2	17	41	136	9	10	5	229	307	395	701	166	286	27	8	312	98	-1	+0	-0	+5	+11	1.5
2032	25	MLB MLE	LAA	56%	523	465	107	20	2	18	43	140	10	10	5	231	309	401	710	170	287	27	8	316	100	-0	+0	+1	+6	+11	1.8
2033	26	MLB MLE	LAA	56%	533	474	110	21	2	19	44	143	10	10	5	232	309	404	714	173	287	27	8	317	101	+0	+0	+1	+6	+12	1.9
2034	27	MLB MLE	LAA	55%	534	475	110	21	2	19	44	144	10	10	5	231	308	402	710	171	286	27	8	316	100	-0	+0	+1	+6	+12	1.8
2035	28	MLB MLE	LAA	55%	528	471	107	20	2	18	43	143	9	9	5	229	306	397	704	168	286	27	8	313	98	-1	-0	-0	+6	+11	1.6
2036	29	MLB MLE	LAA	53%	517	461	106	20	2	18	42	142	9	8	6	227	304	391	695	165	284	27	8	310	96	-3	-1	-1	+6	+11	1.3
2037	30	MLB MLE	LAA	57%	504	449	102	19	2	17	41	140	9	7	6	224	300	384	684	160	283	28	8	305	93	-4	-1	-2	+5	+11	1.0
2038	31	MLB MLE	LAA	60%	487	437	96	18	2	15	39	137	8	6	8	220	296	375	670	155	280	28	8	300	89	-6	-2	-2	+5	+11	0.5
2039	32	MLB MLE	LAA	61%	466	418	90	17	1	14	37	133	8	4	13	215	290	362	652	147	276	29	8	292	84	-9	-4	-3	+5	+10	-0.1
2028	21	MLB CTX	LAA	34%	108	97	20	4	0	3	8	31	2	2	1	214	292	350	642	137	279	29	7	289	83	-2	+0	-0	+1	+2	0.1
2029	22	MLB CTX	LAA	48%	197	175	39	7	1	6	16	55	4	4	2	220	298	370	668	150	281	28	8	299	89	-3	+0	-1	+2	+4	0.3
2030	23	MLB CTX	LAA	54%	247	220	49	9	1	8	20	68	5	5	2	224	302	384	686	160	283	28	8	307	94	-2	+0	-0	+3	+5	0.6
2031	24	MLB CTX	LAA	55%	278	248	56	10	1	10	23	75	5	5	3	228	306	394	700	166	284	27	8	312	98	-1	-0	-0	+3	+6	0.8
2032	25	MLB CTX	LAA	56%	293	262	60	11	1	10	24	79	5	6	3	230	308	401	708	170	285	27	8	315	100	-0	+0	+0	+3	+6	1.0
2033	26	MLB CTX	LAA	56%	300	267	61	11	1	11	25	80	5	6	3	231	308	404	712	173	284	27	8	316	101	+0	+0	+0	+3	+6	1.0
2034	27	MLB CTX	LAA	55%	295	264	61	11	1	11	24	79	5	6	3	230	307	401	709	172	284	27	8	315	100	-0	+0	+0	+3	+6	1.0
2035	28	MLB CTX	LAA	55%	289	258	59	11	1	10	24	79	5	5	3	228	305	397	702	169	283	27	8	313	98	-1	-0	-0	+3	+6	0.9
2036	29	MLB CTX	LAA	53%	276	247	56	10	1	10	22	76	5	4	3	226	303	391	694	165	282	28	8	309	96	-1	-0	-0	+3	+6	0.7
2037	30	MLB CTX	LAA	57%	288	258	57	10	1	10	23	80	5	4	3	223	299	383	683	161	280	28	8	305	93	-2	-0	-1	+3	+6	0.6
2038	31	MLB CTX	LAA	60%	290	260	56	10	1	9	23	82	5	3	4	219	295	374	669	155	278	28	8	299	89	-4	-1	-1	+3	+6	0.3
2039	32	MLB CTX	LAA	61%	286	257	55	10	1	9	22	82	5	3	8	214	289	362	650	148	274	29	8	292	84	-5	-3	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3147	2813	629	114	11	107	254	866	56	53	38	224	301	386	687	162	282	28	8	307	89	-21	-5	-5	+34	+68	7.3
/ 162G	—	A+C		—	650	581	130	24	2	22	52	179	12	11	8	224	301	386	686	162	282	28	8	307	89	-4	-1	-1	+7	+14	1.5
Career	—	MLE		—	6707	5985	1328	253	26	206	535	1883	129	119	79	222	300	376	676	154	285	28	8	300	89	-46	-8	-10	+64	+130	13.2
/ 162G	—	MLE		—	650	580	130	25	3	20	52	182	13	12	8	224	303	381	684	157	288	28	8	300	89	-5	-1	-1	+7	+14	1.4

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 Angels · 241 PAwOBA .395 → .287 (−108)K% 22.4% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.41%	÷1.000	×1.440	—	—	32.27%
BB% (unintentional) /PA	15.35%	÷1.000	×0.620	—	×1.008	9.59%
HBP% /PA	3.32%	—	×0.720	—	×1.008	2.41%
Singles /BIP	21.83%	÷1.000	×0.820	×1.048	×1.008	18.91%
Doubles /BIP	9.86%	÷1.000	×0.720	×1.048	×1.008	7.50%
Triples /BIP	1.41%	÷1.000	×0.720	×1.048	×1.008	1.07%
Home runs /BIP	5.63%	÷1.000	×0.780	—	×1.008	4.43%

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 ×1.048.

Result: wOBA .395 → .287; ISO .214 → .157; BABIP .351 → .288. 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 ARancho Cucamonga Quakes · 116 PAwOBA .295 → .243 (−52)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	6.90%	÷1.000	×0.690	—	×1.045	4.97%
HBP% /PA	2.59%	—	×0.780	—	×1.045	2.11%
Singles /BIP	22.97%	÷1.000	×0.920	×1.001	×1.045	22.11%
Doubles /BIP	5.41%	÷1.000	×0.830	×1.001	×1.045	4.69%
Triples /BIP	0.00%	÷1.000	×0.910	×1.001	×1.045	0.00%
Home runs /BIP	4.05%	÷1.000	×0.800	—	×1.045	3.39%

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 ×1.001.

Result: wOBA .295 → .243; ISO .126 → .099; BABIP .288 → .269. 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 Angels · 152 PAwOBA .337 → .236 (−101)K% 26.3% → 39.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷0.969	×1.440	—	—	39.13%
BB% (unintentional) /PA	12.50%	÷1.082	×0.620	—	×1.022	7.33%
HBP% /PA	1.97%	—	×0.720	—	×1.022	1.45%
Singles /BIP	29.21%	÷1.015	×0.820	×1.026	×1.022	24.77%
Doubles /BIP	7.87%	÷0.992	×0.720	×1.026	×1.022	5.99%
Triples /BIP	0.00%	÷1.134	×0.720	×1.026	×1.022	0.00%
Home runs /BIP	2.25%	÷0.873	×0.780	—	×1.022	2.05%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 103, 2B 98, 3B 127, K 94, BB 116 — 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 ×1.026.

Result: wOBA .337 → .236; ISO .101 → .075; BABIP .375 → .310. 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 Angels · 219 PAwOBA .363 → .220 (−143)K% 23.3% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.29%	÷1.038	×1.220	—	—	27.37%
BB% (unintentional) /PA	7.31%	÷1.064	×0.700	—	×1.022	4.92%
HBP% /PA	2.74%	—	×0.700	—	×1.022	1.96%
Singles /BIP	27.46%	÷1.052	×0.680	×0.950	×1.022	17.25%
Doubles /BIP	7.75%	÷1.081	×0.600	×0.950	×1.022	4.18%
Triples /BIP	2.11%	÷0.961	×0.600	×0.950	×1.022	1.28%
Home runs /BIP	3.52%	÷1.068	×0.470	—	×1.022	1.58%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 116, 3B 92, K 108, BB 113 — 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 ×0.950.

Result: wOBA .363 → .220; ISO .166 → .086; BABIP .379 → .226. 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
#1Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	pk7: 16
#2Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#3Greg Gagne'83-'97 * career totals — 13 seasons, 6,207 PA	9.3	6,207	111	108	249*	297*	394*	+65	+26	13.2	13.0
/162	664	12	12	+6.9	+2.8	1.4	pk7: 13
#4Khalil 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
#5Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,356	108	55	225	299	385	+36	+0	9.7	8.5
/162	664	21	11	+7.1	+0.0	1.9	pk7: 7
#6Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8

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
Joswa Lugo (OGILVIE)	20	—	—	—	—	206/283/325	119	279	4	3	29%	8%	74	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Agustín Ramírez 2023 · A	21	43→48	45→55	51→55	44	213/272/340	128	284	12	11	29%	7%	72	-0.7	233/294/390	157	279	18	13	23%	7%	93	+0.8	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Miguel Amaya 2019 · A	20	43	44→50	48→40	45	215/283/328	113	270	12	4	24%	7%	74	-0.5	216/296/343	127	275	13	4	25%	8%	83	+0.1	216/325/362	146	296	16	3	30%	10%	98	+0.3
✕Bo Naylor 2021 · A	21	41→46	44→55	51→50	42	206/261/333	127	283	11	7	30%	7%	66	-1.1	204/287/354	150	283	17	13	32%	10%	82	-0.0	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Kevin Padlo 2016 · A	20	39→42	46→55	50	46	197/276/332	135	270	13	8	31%	9%	73	-0.6	186/272/313	127	276	12	8	34%	10%	67	-1.1	196/269/361	165	267	20	12	33%	8%	75	-0.3
✕Bryan Ramos 2022 · A	20	41→42	45→50	49→50	42	206/277/332	126	281	12	8	30%	7%	73	-0.6	219/279/362	143	273	18	5	26%	6%	80	-0.1	214/275/354	140	261	19	5	25%	6%	74	-0.4
●Dilson Herrera 2014 · A	20	44→54	45→55	49→50	41	220/273/347	128	293	12	11	29%	6%	74	-0.5	259/309/398	139	326	14	13	24%	6%	99	+1.3	267/319/412	145	327	15	13	22%	6%	104	+1.4
●Derek Norris 2009 · A	20	41→51	42→55	49→50	44	195/271/302	107	297	9	6	35%	9%	63	-1.3	214/314/376	162	294	19	6	31%	11%	97	+1.1	257/333/410	152	314	16	5	22%	9%	112	+1.6
✕Blaze Alexander 2019 · A	20	48→50	43→50	52→50	43	227/289/346	119	322	8	10	30%	7%	80	-0.2	205/274/309	104	307	9	11	34%	7%	66	-1.1	246/324/371	124	344	12	15	29%	8%	98	+0.8
●Carter Jensen 2023 · A	20	38→48	42→55	45→50	49	189/279/298	109	272	9	7	32%	11%	66	-1.1	205/296/340	135	284	14	9	30%	11%	82	-0.0	233/312/421	188	299	22	7	28%	10%	105	+1.6
✕Max Muncy 2023 · A	20	39→49	47→55	50	41	193/269/328	134	304	15	12	39%	8%	69	-0.9	221/286/348	127	329	13	9	35%	7%	80	-0.2	234/300/394	160	319	20	5	31%	6%	95	+0.5
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Brendan Rodgers 2017 · A	20	43→53	45→50	44→45	39	219/266/338	120	288	13	6	29%	5%	70	-0.9	243/287/379	136	307	15	6	25%	4%	87	+0.4	260/314/400	140	308	15	0	20%	6%	102	+1.0
✕Jeferson Quero 2023 · A	20	47	44→50	49→45	43	230/281/347	117	293	11	9	25%	6%	77	-0.3	232/290/369	137	282	16	7	23%	7%	86	+0.3	222/285/355	133	266	16	4	23%	7%	79	-0.1
✕Jeter Downs 2018 · A	20	42→41	43→50	47→55	47	209/276/317	108	258	11	9	23%	7%	69	-0.9	216/283/359	143	277	16	17	27%	7%	81	-0.1	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕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
✕Kyle Higashioka 2010 · A	20	45→43	40→60	49→45	41	216/268/305	89	291	7	7	28%	6%	62	-1.4	197/249/302	105	243	11	3	23%	6%	55	-2.0	230/276/419	189	272	26	4	26%	6%	93	+0.4
✕Harry Ford 2022 · A	19	45→53	47→45	52→55	43	223/289/361	138	311	13	9	31%	8%	84	+0.1	221/332/349	128	309	12	16	29%	12%	98	+1.2	226/338/346	120	294	12	19	24%	12%	96	+0.9
✕José Rodríguez 2021 · A	20	41→51	43→50	52→55	37	208/240/316	109	266	11	11	27%	4%	54	-2.0	248/280/380	132	299	14	24	21%	4%	84	+0.1	248/280/383	135	297	15	29	22%	4%	81	-0.0
✕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
✕Thayron Liranzo 2023 · A	20	39→43	47→50	48→30	43	197/269/333	136	279	14	5	33%	8%	70	-0.8	211/298/368	157	314	18	2	35%	11%	89	+0.5	200/293/350	150	295	17	1	35%	11%	80	-0.1

Joswa Lugo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps