Handelfry Encarnacion

RF Wilson Warbirds

Age 20 L/L 5'11" / 172 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP35OGV rank#739ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Brewers 1	127	.210/.378/.330	2	4	32	—	.123/.268/.179
2025	18	A/ROK2 orgs	328	.242/.323/.375	5	6	41	—	.178/.241/.271
2026	19	AMIL	531	.250/.383/.405	12	27	86	—	.217/.320/.342
2027PROJMLE	20	MLBMIL	616	.223/.310/.343	11	12	87	0.1
2028PROJ34% MLB	21	MLBMIL	174	.227/.315/.363	4	4	95	0.0
2029PROJ48% MLB	22	MLBMIL	263	.232/.320/.381	7	5	100	0.3

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

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$3M2033Arb-2$5M2034Arb-3$7M

Skills · percentileMiLB Statcast 2026 A

K%81

BB%81

Chase%74

Whiff%69

wOBA67

wRC+64

Career WAR0.0 WAR median (P10 -0.3 / P90 17, comp-based) · star 8% · didn't stick 70%

CompsCarter Jensen (age 20) · Canaan Smith-Njigba (age 20) · Hoy Park (age 20)

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

wRC+†87

AVG/OBP/SLG.221 / .308 / .340

PA210

HR4

K%21

BB%10

ISO120

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$7M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2030	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2033	Arb-2	$5M	+0.6	$2M	+$0.0M (cut)
2034	Arb-3	$7M	+0.6	$1M	+$0.0M (cut)
Totals		$3M		$9M	+$2M

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 Brewers 1	—	127	100	21	6	0	2	23	21	4	4	3	210	378	330	708	120	247	17	18	336	32	—	—	—	—	—	—
2025	18	A	Carolina Mudcats	—	114	103	16	4	1	0	10	22	1	0	1	155	237	214	450	58	198	19	9	214	11	—	—	—	—	—	—
2025	18	ROK	ACL Brewers	—	214	190	55	18	0	5	19	33	5	6	5	289	369	463	832	174	329	15	9	371	57	—	—	—	—	—	—
2026	19	A	Wilson Warbirds	—	531	432	108	27	2	12	86	94	7	27	13	250	383	405	788	155	289	18	16	355	86	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 1	—	127	106	13	3	0	1	17	26	4	4	3	123	268	179	447	57	152	20	13	215	32	—	—	—	—	—	—
2025	18	A MLE	Carolina Mudcats	—	114	106	15	3	1	0	7	29	1	0	1	142	202	189	390	47	201	25	6	185	11	—	—	—	—	—	—
2025	18	ROK MLE	ACL Brewers	—	214	197	39	11	0	4	12	49	5	6	5	198	262	315	576	117	244	23	6	253	57	—	—	—	—	—	—
2026	19	A MLE	Wilson Warbirds	—	531	456	99	23	2	10	62	128	7	27	13	217	320	342	662	125	269	24	12	295	86	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	127	106	13	3	0	1	17	26	4	4	3	123	268	179	447	57	152	20	13	215	32	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 1	—	127	100	21	6	0	2	23	21	4	4	3	210	378	330	708	120	247	17	18	336	32	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	328	303	56	15	1	4	19	78	6	6	6	185	247	281	527	96	235	24	6	229	41	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	328	293	71	22	1	5	29	55	6	6	6	242	323	375	699	133	283	17	9	317	41	—	—	—	—	—	—
2026	19	A MLE	Wilson Warbirds	—	531	456	99	23	2	10	62	128	7	27	13	217	320	342	662	125	275	24	12	295	86	—	—	—	—	—	—
2026	19	A RAW	Wilson Warbirds	—	531	432	108	27	2	12	86	94	7	27	13	250	383	405	788	155	289	18	16	355	86	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	127	105	13	3	0	1	17	26	4	4	3	124	268	181	449	57	152	20	13	215	32	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	328	300	56	15	1	4	19	78	6	6	6	187	247	283	530	97	229	24	6	229	41	—	—	—	—	—	—
2026	19	A MLE	Wilson Warbirds	—	531	457	99	23	2	10	62	128	7	27	13	217	320	341	661	125	269	24	12	295	86	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Brewers 1	—	127	105	13	3	0	1	17	26	4	4	3	124	268	181	449	57	152	20	13	215	32	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	328	300	56	15	1	4	19	78	6	6	6	187	247	283	530	97	229	24	6	229	41	—	—	—	—	—	—
2026	19	A MLE	Wilson Warbirds	—	531	457	99	23	2	10	62	128	7	27	13	217	320	341	661	125	269	24	12	295	86	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIL	0%	616	543	122	29	2	11	61	131	7	12	6	223	310	343	653	120	273	21	10	296	87	-10	+0	-1	-7	+13	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIL	34%	507	445	103	24	2	11	51	105	6	11	5	230	318	366	684	136	275	21	10	308	95	-3	+0	-1	-5	+11	0.2
2029	22	MLB MLE	MIL	48%	543	476	112	25	2	14	55	111	7	11	5	235	323	383	706	148	276	20	10	317	100	+0	+0	-1	-6	+12	0.6
2030	23	MLB MLE	MIL	54%	560	491	117	26	2	15	57	113	7	11	5	239	326	394	719	155	278	20	10	322	104	+3	+0	-1	-6	+12	0.8
2031	24	MLB MLE	MIL	55%	578	508	122	27	2	16	58	116	7	11	5	241	328	400	728	159	279	20	10	325	106	+4	+0	-1	-6	+13	1.0
2032	25	MLB MLE	MIL	56%	590	519	125	27	2	17	59	119	7	11	5	242	328	403	731	161	280	20	10	326	107	+5	+0	-0	-6	+13	1.1
2033	26	MLB MLE	MIL	56%	599	526	127	28	2	17	61	121	7	10	5	242	328	403	731	161	280	20	10	326	107	+5	+0	-0	-6	+13	1.1
2034	27	MLB MLE	MIL	55%	596	524	125	27	2	17	60	121	7	10	5	241	327	400	728	160	279	20	10	325	106	+4	+0	-0	-6	+13	1.1
2035	28	MLB MLE	MIL	55%	585	514	123	27	2	17	59	120	7	8	4	239	325	395	721	157	278	21	10	322	104	+3	+0	-1	-6	+13	0.8
2036	29	MLB MLE	MIL	53%	568	500	119	26	2	16	57	118	6	7	4	236	322	389	711	153	277	21	10	318	102	+1	-0	-2	-6	+12	0.5
2037	30	MLB MLE	MIL	53%	552	486	114	25	2	15	55	117	6	5	5	233	319	381	699	148	275	21	10	314	98	-1	-1	-3	-6	+12	0.2
2038	31	MLB MLE	MIL	52%	534	470	107	23	2	13	53	115	6	3	7	229	314	371	684	142	272	22	10	308	94	-4	-2	-3	-6	+12	-0.3
2028	21	MLB CTX	MIL	34%	174	153	36	8	1	4	17	36	2	4	2	227	315	363	679	136	269	21	10	306	95	-1	+0	-0	-2	+4	0.0
2029	22	MLB CTX	MIL	48%	263	231	53	11	1	7	27	54	3	5	2	232	320	381	701	148	271	21	10	315	100	+0	+0	-0	-3	+6	0.3
2030	23	MLB CTX	MIL	54%	304	266	63	13	1	9	31	61	4	6	3	236	323	392	715	156	273	20	10	320	104	+1	+0	-0	-3	+7	0.4
2031	24	MLB CTX	MIL	55%	320	281	67	14	1	10	32	64	4	6	3	238	325	399	724	160	274	20	10	323	106	+2	+0	-0	-3	+7	0.6
2032	25	MLB CTX	MIL	56%	330	290	69	14	1	10	33	67	4	6	3	239	326	402	728	163	275	20	10	325	107	+3	+0	-0	-4	+7	0.6
2033	26	MLB CTX	MIL	56%	337	296	71	15	1	10	34	68	4	6	3	239	326	402	728	163	275	20	10	325	107	+3	+0	-0	-4	+7	0.6
2034	27	MLB CTX	MIL	55%	330	290	69	14	1	10	33	67	4	5	3	238	325	399	724	161	274	20	10	323	106	+2	-0	-0	-4	+7	0.6
2035	28	MLB CTX	MIL	55%	321	282	67	14	1	10	32	66	4	4	2	236	323	394	717	158	273	21	10	321	104	+2	+0	-1	-3	+7	0.5
2036	29	MLB CTX	MIL	53%	303	267	63	13	1	9	30	63	3	4	2	234	320	388	707	154	272	21	10	317	102	+1	+0	-1	-3	+7	0.3
2037	30	MLB CTX	MIL	53%	290	256	59	12	1	8	29	61	3	3	2	230	316	379	696	149	270	21	10	312	98	-1	-0	-1	-3	+6	0.1
2038	31	MLB CTX	MIL	52%	278	245	55	11	1	7	28	60	3	2	4	226	311	369	680	143	267	22	10	306	94	-2	-1	-2	-3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3250	2857	672	139	11	94	326	667	38	51	29	235	322	390	712	155	273	21	10	318	97	+11	-1	-7	-35	+70	3.8
/ 162G	—	A+C		—	650	571	135	28	2	19	65	133	8	10	6	236	323	392	715	156	274	20	10	318	97	+2	-0	-1	-7	+14	0.8
Career	—	MLE		—	7408	6509	1504	336	26	187	744	1553	92	139	79	231	319	377	695	146	274	21	10	311	97	+14	-2	-14	-69	+139	6.9
/ 162G	—	MLE		—	650	571	131	29	2	16	65	136	8	12	7	229	317	371	688	142	272	21	10	311	97	+1	-0	-1	-7	+14	0.7

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 AWilson Warbirds · 531 PAwOBA .351 → .295 (−56)K% 17.7% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.70%	÷1.000	×1.360	—	—	24.08%
BB% (unintentional) /PA	16.20%	÷1.000	×0.690	—	×1.045	11.68%
HBP% /PA	1.32%	—	×0.780	—	×1.045	1.07%
Singles /BIP	19.82%	÷1.000	×0.920	×1.000	×1.045	19.06%
Doubles /BIP	7.99%	÷1.000	×0.830	×1.000	×1.045	6.93%
Triples /BIP	0.59%	÷1.000	×0.910	×1.000	×1.045	0.56%
Home runs /BIP	3.55%	÷1.000	×0.800	—	×1.045	2.97%

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 ×1.000.

Result: wOBA .351 → .295; ISO .155 → .132; BABIP .289 → .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 Brewers · 214 PAwOBA .361 → .253 (−109)K% 15.4% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.42%	÷0.973	×1.440	—	—	22.83%
BB% (unintentional) /PA	8.88%	÷1.011	×0.620	—	×1.022	5.56%
HBP% /PA	2.34%	—	×0.720	—	×1.022	1.72%
Singles /BIP	20.38%	÷1.031	×0.820	×0.982	×1.022	16.28%
Doubles /BIP	11.46%	÷1.109	×0.720	×0.982	×1.022	7.47%
Triples /BIP	0.00%	÷1.001	×0.720	×0.982	×1.022	0.00%
Home runs /BIP	3.18%	÷0.971	×0.780	—	×1.022	2.62%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 106, 2B 122, 3B 100, K 95, BB 102 — 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 ×0.982.

Result: wOBA .361 → .253; ISO .174 → .121; BABIP .329 → .244. 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 ACarolina Mudcats · 114 PAwOBA .209 → .185 (−24)K% 19.3% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.30%	÷1.033	×1.360	—	—	25.42%
BB% (unintentional) /PA	8.77%	÷0.981	×0.690	—	×1.050	6.48%
HBP% /PA	0.88%	—	×0.780	—	×1.050	0.72%
Singles /BIP	13.58%	÷0.948	×0.920	×1.050	×1.050	14.53%
Doubles /BIP	4.94%	÷1.002	×0.830	×1.050	×1.050	4.51%
Triples /BIP	1.23%	÷1.150	×0.910	×1.050	×1.050	1.08%
Home runs /BIP	0.00%	÷1.214	×0.800	—	×1.050	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — 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 ×1.050.

Result: wOBA .209 → .185; ISO .058 → .050; BABIP .198 → .201. 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 Brewers 1 · 127 PAwOBA .328 → .215 (−113)K% 16.5% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.54%	÷0.984	×1.220	—	—	20.50%
BB% (unintentional) /PA	18.11%	÷0.994	×0.700	—	×1.022	13.04%
HBP% /PA	3.15%	—	×0.700	—	×1.022	2.25%
Singles /BIP	16.46%	÷1.021	×0.680	×0.960	×1.022	10.76%
Doubles /BIP	7.59%	÷1.057	×0.600	×0.960	×1.022	4.23%
Triples /BIP	0.00%	÷1.088	×0.600	×0.960	×1.022	0.00%
Home runs /BIP	2.53%	÷1.098	×0.470	—	×1.022	1.11%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 104, 2B 111, 3B 118, K 97, 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 ×0.960.

Result: wOBA .328 → .215; ISO .120 → .062; BABIP .247 → .152. 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
#1Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Leroy Stanton'70-'78 * career totals — 7 seasons, 2,883 PA	4.3	2,883	77	36	245*	314*	430*	-33	-1	6.5	7.8
/162	664	18	8	-7.7	-0.2	1.5	pk7: 9
#4Scott Spiezio'96-'07 * career totals — 11 seasons, 4,412 PA	6.6	4,412	119	33	245*	318*	406*	-34	-15	7.5	7.8
/162	664	18	5	-5.2	-2.3	1.1	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.2	3,461	92	55	238	320	390	-22	-4	8.2	7.4
/162	664	18	11	-4.2	-0.9	1.6	pk7: 7
#5Ron Swoboda'65-'73 * career totals — 8 seasons, 2,924 PA	4.4	2,924	73	20	243*	329*	417*	-30	-1	6.8	7.3
/162	664	17	5	-6.7	-0.3	1.5	pk7: 8
#6Michael 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

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
Handelfry Encarnacion (OGILVIE)	20	—	—	—	—	221/308/340	119	273	4	4	21%	10%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●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
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
●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
✕Juan Brito 2022 · A	20	44→50	41→50	47→45	46	215/282/311	96	276	9	12	25%	8%	70	-0.9	234/317/368	134	286	12	9	21%	10%	96	+1.0	231/317/370	139	276	13	9	20%	10%	94	+0.8
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	220/298/335	114	290	7	10	25%	9%	80	-0.1	201/274/317	116	305	8	13	34%	9%	68	-1.0	238/319/386	148	309	15	24	26%	11%	100	+0.9
●Dylan Carlson 2019 · A	20	44→53	44→55	45→50	46	213/286/329	116	288	11	6	28%	8%	76	-0.4	237/305/399	162	302	17	10	26%	8%	98	+1.2	246/317/424	178	308	20	8	26%	8%	109	+1.4
✕Jason Martin 2016 · A	20	48→52	40→60	47→50	47	228/284/326	98	290	6	10	23%	7%	72	-0.7	225/278/372	147	302	15	13	29%	7%	82	-0.0	226/292/414	187	279	24	8	28%	8%	94	+0.6
●Rowdy Tellez 2015 · A	20	46→53	42→60	47→45	45	225/279/326	101	276	9	4	22%	6%	71	-0.8	233/287/358	125	295	13	5	24%	7%	82	-0.0	252/311/448	196	296	26	4	24%	7%	112	+1.4
●Adael Amador 2022 · A	19	46→56	41→50	45→55	48	223/287/324	101	278	9	11	23%	8%	74	-0.5	249/327/380	131	292	14	17	19%	9%	102	+1.5	244/325/378	134	283	16	23	19%	10%	99	+0.9
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
●Davis Schneider 2018 · A	19	40→45	41→55	48→50	50	197/279/301	104	258	8	6	26%	10%	66	-1.1	196/270/292	96	306	8	7	35%	8%	61	-1.5	212/323/402	190	276	23	9	30%	13%	106	+1.4
●Angel Genao 2024 · A	20	47→57	39→45	48→50	48	224/290/313	89	292	6	9	24%	8%	73	-0.6	262/314/381	119	324	9	12	21%	7%	97	+1.1	271/329/396	125	328	10	12	19%	8%	104	+1.3
●Jorbit Vivas 2021 · A	20	46→56	37→45	49→50	47	215/289/297	81	268	3	11	20%	7%	69	-0.9	253/327/377	124	285	11	7	15%	7%	101	+1.4	252/334/373	121	281	11	9	14%	8%	101	+1.3
✕Hendry Mendez 2024 · A	20	48→57	38→45	40→45	49	226/290/302	77	280	5	4	21%	8%	70	-0.8	250/318/351	101	303	8	6	19%	9%	92	+0.7	262/336/372	110	313	10	6	18%	9%	101	+1.0
✕Shed Long Jr. 2016 · A	20	44→50	42→50	44→50	43	216/269/322	106	282	10	6	27%	6%	66	-1.1	235/294/368	133	322	13	11	29%	7%	87	+0.4	238/300/387	148	320	15	11	29%	7%	91	+0.5
✕Abimelec Ortiz 2022 · A	20	36→42	47→60	50→40	54	185/296/323	138	225	14	8	24%	11%	80	-0.2	204/271/370	166	279	22	5	34%	7%	80	-0.2	215/282/406	191	269	25	2	30%	7%	90	+0.5
●Josue De Paula 2023 · A	18	47→54	40→50	50→55	54	224/305/318	94	270	6	14	19%	10%	80	-0.2	233/325/328	95	314	7	17	25%	11%	90	+0.6	241/338/391	150	298	16	24	23%	12%	106	+1.5
✕Ramón Flores 2012 · A	20	47→57	40→45	50	46	225/283/320	95	286	7	8	24%	7%	72	-0.7	244/302/348	104	307	7	10	21%	7%	84	+0.2	255/328/354	99	304	9	8	18%	9%	94	+0.6

Handelfry Encarnacion

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps