Jhonayker Ugarte

SS ACL Royals

Age 20 R/R 6'2" / 180 lbs ROK HR -15%K -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2098ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Royals Ve…	183	.299/.428/.395	1	11	59	—	.205/.311/.276
2025	18	ROKKC	214	.216/.343/.284	2	5	22	—	.144/.238/.187
2026	19	A/ROKKC	235	.261/.358/.357	1	3	46	—	.199/.275/.267
2027PROJMLE	20	MLBKC	345	.195/.267/.265	2	5	52	-0.2
2028PROJ34% MLB	21	MLBKC	65	.200/.273/.284	1	1	60	-0.1
2029PROJ48% MLB	22	MLBKC	143	.206/.278/.300	2	2	67	-0.1

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

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 A

K%57

Z-Con%47

Whiff%42

Chase%24

BB%19

Speed17

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsGilberto Vizcarra (age 20) · Jenner Emeterio (age 20) · Alfredo González (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 137 proj PA

wRC+†52

AVG/OBP/SLG.193 / .264 / .262

PA137

HR1

K%26

BB%8

ISO69

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 25 / POW 20

Toolsscout grade

CONTACT25

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.4M	—	—	—
2037	Arb-2	$0.4M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.1M	+$0.0M

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 Royals Ventura	—	183	147	44	9	1	1	30	36	3	11	6	299	428	395	822	95	384	20	16	373	59	—	—	—	—	—	—
2025	18	ROK	ACL Royals	—	214	176	38	4	1	2	31	66	3	5	3	216	343	284	627	68	324	31	14	293	22	—	—	—	—	—	—
2026	19	A	Columbia Fireflies	—	61	54	9	1	0	0	5	14	1	0	1	167	250	185	435	19	225	23	8	209	5	—	—	—	—	—	—
2026	19	ROK	ACL Royals	—	174	145	43	11	2	1	20	36	4	3	3	297	396	421	817	124	378	21	11	360	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Royals Ventura	—	183	156	32	6	1	1	21	44	3	11	6	205	311	276	587	71	257	24	11	255	59	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	214	187	27	3	1	1	20	97	3	5	3	144	238	187	425	43	265	45	9	201	22	—	—	—	—	—	—
2026	19	A MLE	Columbia Fireflies	—	61	55	8	1	0	0	4	19	1	0	1	145	217	164	380	18	221	31	7	175	5	—	—	—	—	—	—
2026	19	ROK MLE	ACL Royals	—	174	152	33	8	1	1	13	52	4	3	3	217	296	303	598	86	294	30	7	259	61	—	—	—	—	—	—
2024	17	ROK MLE	DSL Royals Ventura	—	183	156	32	6	1	1	21	44	3	11	6	205	311	276	587	71	274	24	11	255	59	—	—	—	—	—	—
2024	17	ROK RAW	DSL Royals Ventura	—	183	147	44	9	1	1	30	36	3	11	6	299	428	395	822	95	384	20	16	373	59	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	214	187	27	3	1	1	20	97	3	5	3	144	238	187	425	43	283	45	9	201	22	—	—	—	—	—	—
2025	18	ROK RAW	ACL Royals	—	214	176	38	4	1	2	31	66	3	5	3	216	343	284	627	68	324	31	14	293	22	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	235	208	41	9	1	1	16	71	5	3	4	197	271	264	535	67	288	30	7	237	47	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	235	199	52	12	2	1	25	50	5	3	4	261	358	357	715	95	338	21	11	321	47	—	—	—	—	—	—
2024	17	ROK MLE	DSL Royals Ventura	—	183	157	32	6	1	1	21	44	3	11	6	204	311	274	585	70	257	24	11	255	59	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	214	189	27	3	1	1	20	97	3	5	3	143	238	185	423	42	265	45	9	201	22	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	235	212	41	9	1	1	16	71	5	3	4	193	271	259	530	66	275	30	7	237	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Royals Ventura	—	183	157	32	6	1	1	21	44	3	11	6	204	311	274	585	70	257	24	11	255	59	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	214	189	27	3	1	1	20	97	3	5	3	143	238	185	423	42	265	45	9	201	22	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	235	212	41	9	1	1	16	71	5	3	4	193	271	259	530	66	275	30	7	237	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	KC	0%	345	312	61	12	2	2	26	89	4	5	2	195	267	265	531	69	263	26	8	245	52	-20	+0	+0	+4	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	KC	34%	189	170	35	7	1	2	15	48	2	3	1	202	274	287	562	85	266	25	8	257	60	-9	+0	+0	+2	+4	-0.3
2029	22	MLB MLE	KC	48%	296	267	56	11	2	4	23	74	4	5	2	208	280	305	585	97	268	25	8	267	67	-12	+0	+0	+3	+6	-0.2
2030	23	MLB MLE	KC	54%	380	342	73	14	2	6	30	93	5	6	2	212	285	317	602	106	270	24	8	273	71	-13	+0	+0	+4	+8	-0.0
2031	24	MLB MLE	KC	55%	434	391	84	16	2	8	35	106	5	7	2	215	288	327	615	112	272	24	8	279	75	-13	+1	+0	+5	+9	0.2
2032	25	MLB MLE	KC	56%	461	416	90	17	2	9	37	112	5	7	3	217	290	333	623	116	273	24	8	282	77	-13	+0	+0	+5	+10	0.3
2033	26	MLB MLE	KC	56%	476	428	94	18	3	9	39	115	6	7	3	217	290	334	624	116	273	24	8	282	77	-13	+0	+0	+5	+10	0.3
2034	27	MLB MLE	KC	55%	481	434	93	18	2	9	39	117	5	7	3	216	290	331	621	115	273	24	8	281	76	-14	+0	+0	+5	+10	0.2
2035	28	MLB MLE	KC	55%	477	430	92	17	2	9	39	117	5	6	3	214	288	327	614	112	272	25	8	278	74	-15	+0	-1	+5	+10	0.0
2036	29	MLB MLE	KC	58%	468	422	89	17	2	8	38	117	5	6	3	212	285	321	606	108	271	25	8	275	72	-16	+0	-1	+5	+10	-0.2
2037	30	MLB MLE	KC	60%	456	411	85	16	2	7	37	115	5	5	3	209	282	313	595	104	269	25	8	270	69	-17	-0	-2	+5	+10	-0.4
2028	21	MLB CTX	KC	34%	65	59	11	2	0	1	5	16	1	1	0	200	273	284	556	83	264	25	8	255	60	-3	+0	+0	+1	+1	-0.1
2029	22	MLB CTX	KC	48%	143	129	27	5	1	2	11	36	2	2	1	206	278	300	578	94	266	25	8	264	67	-6	+0	+0	+2	+3	-0.1
2030	23	MLB CTX	KC	54%	206	186	38	7	1	3	16	51	2	3	1	210	283	312	595	102	268	25	8	270	71	-7	+0	+0	+2	+4	-0.0
2031	24	MLB CTX	KC	55%	241	217	46	9	1	4	19	59	3	4	1	213	286	321	607	108	270	24	8	275	75	-7	+0	+0	+3	+5	0.1
2032	25	MLB CTX	KC	56%	258	232	49	9	1	5	21	63	3	4	1	215	288	326	615	112	271	24	8	278	77	-7	+0	+0	+3	+6	0.2
2033	26	MLB CTX	KC	56%	268	241	52	10	1	5	22	65	3	4	2	215	288	327	615	112	271	24	8	279	77	-7	+0	+0	+3	+6	0.1
2034	27	MLB CTX	KC	55%	266	239	51	10	1	5	22	65	3	4	2	214	287	324	612	111	271	24	8	277	76	-8	+0	+0	+3	+6	0.1
2035	28	MLB CTX	KC	55%	261	235	49	9	1	4	21	64	3	4	1	212	285	320	606	108	270	25	8	275	74	-8	+0	-0	+3	+6	0.1
2036	29	MLB CTX	KC	58%	272	245	51	10	1	4	22	68	3	3	2	210	283	315	597	105	269	25	8	271	72	-9	-0	-1	+3	+6	-0.1
2037	30	MLB CTX	KC	60%	275	248	51	10	1	4	22	69	3	3	2	207	280	308	587	100	267	25	8	267	69	-10	-0	-1	+3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2255	2031	425	81	9	37	181	556	26	32	13	209	282	313	595	103	268	25	8	273	68	-72	+1	-2	+24	+49	-0.0
/ 162G	—	A+C		—	650	585	123	23	3	11	52	160	7	9	4	210	282	316	598	106	269	25	8	273	68	-21	+0	-1	+7	+14	-0.0
Career	—	MLE		—	4887	4385	916	174	24	75	400	1261	60	80	39	209	284	311	595	102	273	26	8	269	68	-141	+2	-4	+46	+92	-0.6
/ 162G	—	MLE		—	650	583	122	23	3	10	53	168	8	11	5	209	284	310	595	101	274	26	8	269	68	-22	+0	-1	+7	+14	-0.1

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 Royals · 174 PAwOBA .357 → .259 (−98)K% 20.7% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷1.000	×1.440	—	—	29.79%
BB% (unintentional) /PA	11.49%	÷1.000	×0.620	—	×1.008	7.18%
HBP% /PA	2.30%	—	×0.720	—	×1.008	1.67%
Singles /BIP	26.61%	÷1.000	×0.820	×0.981	×1.008	21.56%
Doubles /BIP	10.09%	÷1.000	×0.720	×0.981	×1.008	7.18%
Triples /BIP	1.83%	÷1.000	×0.720	×0.981	×1.008	1.31%
Home runs /BIP	0.92%	÷1.000	×0.780	—	×1.008	0.72%

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 ×0.981.

Result: wOBA .357 → .259; ISO .124 → .088; BABIP .378 → .294. 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 AColumbia Fireflies · 61 PAwOBA .204 → .175 (−29)K% 23.0% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.95%	÷1.000	×1.360	—	—	31.21%
BB% (unintentional) /PA	8.20%	÷1.000	×0.690	—	×1.045	5.91%
HBP% /PA	1.64%	—	×0.780	—	×1.045	1.34%
Singles /BIP	20.00%	÷1.000	×0.920	×1.034	×1.045	19.88%
Doubles /BIP	2.50%	÷1.000	×0.830	×1.034	×1.045	2.24%
Triples /BIP	0.00%	÷1.000	×0.910	×1.034	×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 ×1.034.

Result: wOBA .204 → .175; ISO .019 → .016; BABIP .225 → .221. 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 Royals · 214 PAwOBA .291 → .201 (−90)K% 30.8% → 45.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.84%	÷0.985	×1.440	—	—	45.11%
BB% (unintentional) /PA	14.49%	÷0.971	×0.620	—	×1.022	9.46%
HBP% /PA	1.40%	—	×0.720	—	×1.022	1.03%
Singles /BIP	28.18%	÷1.019	×0.820	×1.013	×1.022	23.50%
Doubles /BIP	3.64%	÷0.975	×0.720	×1.013	×1.022	2.78%
Triples /BIP	0.91%	÷1.070	×0.720	×1.013	×1.022	0.63%
Home runs /BIP	1.82%	÷0.939	×0.780	—	×1.022	1.54%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 104, 2B 95, 3B 114, K 97, BB 94 — 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 ×1.013.

Result: wOBA .291 → .201; ISO .068 → .047; BABIP .324 → .265. 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 Royals Ventura · 183 PAwOBA .368 → .255 (−113)K% 19.7% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.67%	÷1.000	×1.220	—	—	24.01%
BB% (unintentional) /PA	16.39%	÷1.022	×0.700	—	×1.022	11.48%
HBP% /PA	1.64%	—	×0.700	—	×1.022	1.17%
Singles /BIP	29.73%	÷1.014	×0.680	×1.003	×1.022	20.44%
Doubles /BIP	8.11%	÷0.982	×0.600	×1.003	×1.022	5.08%
Triples /BIP	0.90%	÷1.012	×0.600	×1.003	×1.022	0.55%
Home runs /BIP	0.90%	÷0.994	×0.470	—	×1.022	0.44%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 103, 2B 96, 3B 102, K 100, BB 104 — 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 ×1.003.

Result: wOBA .368 → .255; ISO .095 → .059; BABIP .384 → .257. 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
#1Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Mike Tyson'72-'81 * career totals — 9 seasons, 3,200 PA	4.8	3,200	27	23	236*	281*	354*	+20	+24	1.9	3.3
/162	664	6	5	+4.1	+4.9	0.4	pk7: 5
#4Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.6	2,392	40	35	213	283	321	+26	+18	1.4	1.5
/162	664	11	10	+7.1	+5.0	0.4	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Jhonayker Ugarte (OGILVIE)	20	25	20	45	55	193/264/262	69	263	1	2	26%	8%	52	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gilberto Vizcarra 2019 · A	20	34	37→45	47→40	47	164/238/229	66	203	5	3	22%	7%	35	-3.4	205/261/282	77	259	5	4	22%	6%	55	-2.0	227/269/318	92	274	7	1	19%	4%	65	-0.4
✕Jenner Emeterio 2013 · A	20	42	37→30	48→60	49	198/268/270	72	254	4	13	22%	8%	55	-2.0	197/293/251	54	252	2	24	20%	11%	61	-1.5	183/298/219	36	231	1	34	18%	13%	54	-0.8
✕Alfredo González 2012 · A	20	36	36→40	47→45	39	173/218/241	68	241	2	8	28%	5%	28	-3.9	193/244/265	72	255	4	10	25%	5%	44	-2.8	232/294/283	51	313	3	6	25%	7%	64	-0.5
✕Juan Zabala 2019 · A	20	37	34→40	43→50	51	173/260/225	52	223	1	7	22%	9%	42	-2.9	187/250/272	85	285	6	6	34%	6%	49	-2.4	205/266/287	81	283	8	16	29%	7%	55	-0.8
✕Felix G. Santana 2015 · A	20	41	35→30	46→50	44	194/262/257	63	252	3	10	23%	6%	50	-2.3	210/261/295	85	275	6	7	25%	5%	57	-1.8	221/250/302	81	284	6	0	24%	2%	50	-0.5
✕Victor Duarte 2021 · A	20	39	36→30	48→45	48	179/256/249	69	214	3	9	17%	6%	47	-2.6	192/261/272	80	280	6	6	31%	7%	53	-2.1	182/251/245	63	250	5	11	28%	7%	41	-0.8
✕Onil Perez 2023 · A	20	43	36→40	46→55	49	200/268/272	73	258	3	7	22%	8%	55	-1.9	220/284/292	72	276	3	17	20%	7%	65	-1.2	222/294/289	67	273	3	21	18%	8%	67	-0.6
✕Franklin Tineo 2015 · A	20	36	35→40	42→50	44	171/242/229	57	249	2	8	30%	8%	36	-3.4	167/248/235	68	217	4	9	23%	9%	40	-3.0	144/237/212	69	178	5	11	21%	9%	30	-1.2
✕Luis Sanchez 2008 · A	21	37	36→30	45→40	45	179/256/239	60	261	4	7	31%	8%	44	-2.8	203/263/257	54	283	2	4	27%	7%	49	-2.4	198/256/242	45	274	1	2	26%	7%	41	-1.4
✕Richard Rodriguez 2012 · A	19	38	35→30	48→50	47	182/254/242	60	245	3	12	26%	8%	43	-2.8	189/250/229	40	228	1	14	16%	7%	38	-3.2	191/256/205	14	227	0	12	15%	8%	33	-1.1
✕Adrian Abreu 2012 · A	21	37	37→30	46→55	50	177/256/249	71	223	4	9	21%	8%	46	-2.6	192/277/264	72	230	5	17	18%	10%	57	-1.8	176/273/236	60	201	6	25	15%	11%	49	-0.8
✕Oswaldo Linares 2023 · A	20	39	38→40	48→40	56	186/292/260	74	232	6	6	21%	11%	63	-1.3	186/285/262	76	274	6	4	31%	11%	61	-1.5	167/269/232	65	254	5	2	33%	11%	47	-0.9
✕Marco Guzman 2015 · A	20	38	37→50	44→50	51	181/256/254	72	222	4	7	20%	8%	47	-2.6	202/251/280	78	244	4	7	18%	6%	50	-2.3	218/259/314	97	279	5	8	23%	5%	59	-0.6
✕Jesus Rojas 2006 · A	20	38	35→30	45	46	179/243/232	53	230	3	7	22%	7%	36	-3.3	209/277/287	78	265	6	5	22%	8%	62	-1.4	215/288/295	80	268	7	3	21%	9%	68	-0.4
✕Miguel Briceno 2023 · A	20	41	36→40	49→50	46	196/250/269	73	247	3	9	21%	7%	47	-2.5	217/260/286	69	274	3	11	21%	5%	54	-2.0	212/258/283	71	262	6	12	21%	6%	51	-0.9
✕Jose Sanabria 2023 · A	20	40	35→30	45→50	48	187/264/246	60	252	3	9	25%	8%	49	-2.4	193/264/245	52	294	2	10	32%	8%	47	-2.5	182/252/224	43	284	1	11	34%	8%	35	-1.5
✕Emilio King 2010 · A	20	39	37→45	50→40	43	185/269/261	75	247	3	9	25%	6%	55	-2.0	201/250/286	85	299	6	4	33%	4%	51	-2.2	211/248/304	94	307	7	2	33%	3%	51	-1.1
✕Rudy van Heydoorn 2009 · A	20	36	39→40	42→50	52	178/287/262	84	243	7	10	28%	11%	62	-1.4	171/257/257	86	259	7	6	34%	9%	49	-2.4	134/224/213	79	200	8	2	35%	9%	27	-1.2
✕Jose Meza 2023 · A	20	37→42	39→40	48→50	44	183/255/263	80	245	6	10	27%	7%	49	-2.4	199/291/294	95	292	8	8	32%	10%	70	-0.8	186/290/280	94	280	9	10	33%	11%	66	-0.7
✕Andres Regnault 2018 · A	19	36	36→45	46→45	43	175/246/237	62	253	4	6	31%	7%	39	-3.1	208/272/308	100	260	8	7	22%	6%	65	-1.2	204/273/325	121	234	12	6	18%	6%	69	-0.4

Jhonayker Ugarte

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps