Yosneiker Rivas

SS ACL Giants

Age 21 L/R 5'10" / 161 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1736ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Giants Or…	181	.245/.410/.345	1	3	53	—	.174/.309/.248
2025	19	ROKDSL Giants Bl…	172	.315/.417/.462	2	6	56	—	.207/.292/.293
2026	20	A/ROKSF	91	.301/.356/.386	1	1	50	—	.232/.267/.300
2027PROJMLE	21	MLBSF	201	.214/.277/.301	2	3	64	0.0
2028PROJ34% MLB	22	MLBSF	42	.215/.279/.308	0	1	69	0.0
2029PROJ48% MLB	23	MLBSF	97	.218/.283/.318	1	2	73	0.0

Next 3 projected WAR 0.0Projected 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%51

Z-Con%35

ISO31

wOBA20

Whiff%17

wRC+16

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsDavid Medina (age 20) · Kelly Aponte (age 20) · Jimmy Paredes (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 60 proj PA

wRC+†64

AVG/OBP/SLG.212 / .275 / .298

PA60

HR1

K%27

BB%7

ISO86

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 55 / POW 30

Toolsscout grade

CONTACT55

scouting grade only

POWER30

scouting grade only

EYE40

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	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.7M	+$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)
2023	17	ROK	DSL Giants Black	—	31	25	4	1	0	1	6	1	0	1	0	160	323	320	643	160	130	3	19	302	15	—	—	—	—	—	—
2024	18	ROK	DSL Giants Orange	—	181	139	34	9	1	1	36	42	3	3	4	245	410	345	755	101	340	23	20	350	53	—	—	—	—	—	—
2025	19	ROK	DSL Giants Black	—	172	143	45	9	3	2	19	29	6	6	3	315	417	462	878	147	377	17	11	385	56	—	—	—	—	—	—
2026	20	A	San Jose Giants	—	42	41	12	1	0	1	0	10	0	0	1	293	293	390	683	98	355	24	0	296	51	—	—	—	—	—	—
2026	20	ROK	ACL Giants	—	49	42	13	3	0	0	7	12	0	1	1	310	408	381	789	71	433	24	14	363	50	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Giants Black	—	31	27	3	1	0	0	4	1	0	1	0	111	226	148	374	37	85	3	13	191	15	—	—	—	—	—	—
2024	18	ROK MLE	DSL Giants Orange	—	181	149	26	6	1	1	26	51	3	3	4	174	309	248	557	74	238	28	14	247	53	—	—	—	—	—	—
2025	19	ROK MLE	DSL Giants Black	—	172	150	31	6	2	1	12	35	6	6	3	207	292	293	585	87	242	20	7	251	56	—	—	—	—	—	—
2026	20	A MLE	San Jose Giants	—	42	41	11	1	0	1	0	14	0	0	1	268	268	366	634	98	325	33	0	243	51	—	—	—	—	—	—
2026	20	ROK MLE	ACL Giants	—	49	45	9	2	0	0	4	17	0	1	1	200	265	244	510	44	340	35	8	242	50	—	—	—	—	—	—
2023	17	ROK MLE	DSL Giants Black	—	31	27	3	1	0	0	4	1	0	1	0	111	226	148	374	37	115	3	13	191	15	—	—	—	—	—	—
2023	17	ROK RAW	DSL Giants Black	—	31	25	4	1	0	1	6	1	0	1	0	160	323	320	643	160	130	3	19	302	15	—	—	—	—	—	—
2024	18	ROK MLE	DSL Giants Orange	—	181	149	26	6	1	1	26	51	3	3	4	174	309	248	557	74	255	28	14	247	53	—	—	—	—	—	—
2024	18	ROK RAW	DSL Giants Orange	—	181	139	34	9	1	1	36	42	3	3	4	245	410	345	755	101	340	23	20	350	53	—	—	—	—	—	—
2025	19	ROK MLE	DSL Giants Black	—	172	150	31	6	2	1	12	35	6	6	3	207	292	293	585	87	259	20	7	251	56	—	—	—	—	—	—
2025	19	ROK RAW	DSL Giants Black	—	172	143	45	9	3	2	19	29	6	6	3	315	417	462	878	147	377	17	11	385	56	—	—	—	—	—	—
2026	20	ROK MLE	2 teams	—	91	86	20	3	0	1	4	31	0	1	2	233	267	302	569	70	345	34	4	242	50	—	—	—	—	—	—
2026	20	ROK RAW	2 teams	—	91	83	25	4	0	1	7	22	0	1	2	301	356	386	741	84	393	24	8	332	50	—	—	—	—	—	—
2023	17	ROK MLE	DSL Giants Black	—	31	27	3	1	0	0	4	1	0	1	0	111	226	148	374	37	85	3	13	191	15	—	—	—	—	—	—
2024	18	ROK MLE	DSL Giants Orange	—	181	150	26	6	1	1	26	51	3	3	4	173	309	247	556	73	238	28	14	247	53	—	—	—	—	—	—
2025	19	ROK MLE	DSL Giants Black	—	172	152	31	6	2	1	12	35	6	6	3	204	292	289	581	86	242	20	7	251	56	—	—	—	—	—	—
2026	20	ROK MLE	2 teams	—	91	87	20	3	0	1	4	31	0	1	2	230	267	299	566	69	333	34	4	242	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Giants Orange	—	181	150	26	6	1	1	26	51	3	3	4	173	309	247	556	73	238	28	14	247	53	—	—	—	—	—	—
2025	19	ROK MLE	DSL Giants Black	—	172	152	31	6	2	1	12	35	6	6	3	204	292	289	581	86	242	20	7	251	56	—	—	—	—	—	—
2026	20	ROK MLE	2 teams	—	91	87	20	3	0	1	4	31	0	1	2	230	267	299	566	69	333	34	4	242	50	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	SF	0%	201	183	39	7	1	2	14	54	2	3	1	214	277	301	578	86	289	27	7	263	64	-9	+0	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	SF	34%	122	111	25	4	1	2	9	32	1	2	1	218	282	314	597	96	291	26	7	270	69	-4	+0	+0	+1	+3	-0.1
2029	23	MLB MLE	SF	48%	201	183	40	7	1	3	14	53	2	3	1	222	286	325	611	104	292	26	7	276	73	-6	+0	+0	+2	+4	0.0
2030	24	MLB MLE	SF	53%	285	259	58	10	2	5	21	74	3	5	2	224	289	334	623	110	293	26	7	281	76	-8	+0	+0	+3	+6	0.1
2031	25	MLB MLE	SF	55%	344	312	70	13	2	6	25	89	4	5	2	226	291	340	631	114	293	26	7	284	78	-9	+0	+0	+4	+7	0.3
2032	26	MLB MLE	SF	56%	377	342	78	14	3	7	28	96	4	6	2	227	293	344	637	117	292	25	7	286	80	-9	+0	+0	+4	+8	0.4
2033	27	MLB MLE	SF	55%	392	356	80	14	3	7	29	101	4	6	2	226	292	341	633	115	292	26	7	285	79	-10	+0	+0	+4	+8	0.3
2034	28	MLB MLE	SF	55%	396	360	82	15	3	7	29	103	4	5	2	224	290	337	627	113	291	26	7	283	77	-11	+0	-1	+4	+9	0.2
2035	29	MLB MLE	SF	58%	391	355	79	14	2	7	29	102	4	5	3	222	287	331	619	109	290	26	7	279	75	-12	-0	-1	+4	+8	-0.1
2028	22	MLB CTX	SF	34%	42	39	8	2	0	0	3	11	0	1	0	215	279	308	587	93	287	26	7	266	69	-2	+0	+0	+0	+1	0.0
2029	23	MLB CTX	SF	48%	97	89	20	4	1	1	7	25	1	2	1	218	283	318	601	100	288	26	7	272	73	-3	+0	+0	+1	+2	0.0
2030	24	MLB CTX	SF	53%	150	136	30	6	1	2	11	39	2	2	1	221	286	326	612	105	289	26	7	276	76	-4	+0	+0	+2	+3	0.1
2031	25	MLB CTX	SF	55%	188	170	38	7	1	3	14	48	2	3	1	222	288	332	620	109	289	26	7	280	78	-5	+0	+0	+2	+4	0.1
2032	26	MLB CTX	SF	56%	210	190	43	8	1	4	16	54	2	3	1	223	289	335	625	112	288	26	8	282	80	-5	+0	+0	+2	+5	0.2
2033	27	MLB CTX	SF	55%	216	196	44	8	1	4	16	56	2	3	1	222	288	333	622	111	288	26	7	280	79	-5	+0	+0	+2	+5	0.2
2034	28	MLB CTX	SF	55%	216	196	43	8	1	4	16	56	2	3	1	221	287	329	616	108	287	26	7	278	77	-6	+0	-0	+2	+5	0.1
2035	29	MLB CTX	SF	58%	226	205	45	8	1	4	17	59	2	3	1	219	284	323	608	105	286	26	8	275	75	-7	+0	-1	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1345	1221	271	51	7	22	100	348	13	20	7	222	288	329	617	107	291	26	7	278	73	-37	+1	-1	+14	+29	0.7
/ 162G	—	A+C		—	650	590	131	25	3	11	48	168	6	10	3	222	287	331	617	108	290	26	7	278	73	-18	+1	-1	+7	+14	0.3
Career	—	MLE		—	3043	2745	604	109	20	48	234	784	36	49	24	220	290	327	617	107	288	26	8	276	73	-71	+2	-2	+28	+56	1.1
/ 162G	—	MLE		—	650	586	128	23	4	10	50	167	8	10	5	218	289	323	611	104	286	26	8	276	73	-18	+0	-1	+7	+14	0.3

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 Giants · 49 PAwOBA .354 → .242 (−112)K% 24.5% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.49%	÷1.000	×1.440	—	—	35.27%
BB% (unintentional) /PA	14.29%	÷1.000	×0.620	—	×0.985	8.72%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	33.33%	÷1.000	×0.820	—	×0.985	26.92%
Doubles /BIP	10.00%	÷1.000	×0.720	—	×0.985	7.09%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.985	0.00%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .354 → .242; ISO .071 → .046; BABIP .433 → .340. 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 · 42 PAwOBA .294 → .243 (−50)K% 23.8% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.81%	÷1.000	×1.360	—	—	32.38%
BB% (unintentional) /PA	0.00%	÷1.000	×0.690	—	×1.015	0.00%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	32.26%	÷1.000	×0.920	—	×1.015	30.12%
Doubles /BIP	3.23%	÷1.000	×0.830	—	×1.015	2.72%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.015	0.00%
Home runs /BIP	3.23%	÷1.000	×0.800	—	×1.015	2.62%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .294 → .243; ISO .098 → .073; BABIP .355 → .325. 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 Giants Black · 172 PAwOBA .380 → .251 (−130)K% 16.9% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.86%	÷1.007	×1.220	—	—	20.44%
BB% (unintentional) /PA	11.05%	÷1.075	×0.700	—	×0.985	7.08%
HBP% /PA	3.49%	—	×0.700	—	×0.985	2.41%
Singles /BIP	27.19%	÷1.014	×0.680	×1.011	×0.985	18.16%
Doubles /BIP	7.89%	÷1.014	×0.600	×1.011	×0.985	4.66%
Triples /BIP	2.63%	÷0.974	×0.600	×1.011	×0.985	1.62%
Home runs /BIP	1.75%	÷1.022	×0.470	—	×0.985	0.79%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 103, 2B 103, 3B 95, K 101, BB 115 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .380 → .251; ISO .147 → .087; BABIP .377 → .242. 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 Orange · 181 PAwOBA .345 → .247 (−98)K% 23.2% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.20%	÷1.001	×1.220	—	—	28.29%
BB% (unintentional) /PA	19.89%	÷0.982	×0.700	—	×0.995	14.10%
HBP% /PA	1.66%	—	×0.700	—	×0.995	1.15%
Singles /BIP	23.71%	÷0.972	×0.680	×1.050	×0.995	17.32%
Doubles /BIP	9.28%	÷0.982	×0.600	×1.050	×0.995	5.92%
Triples /BIP	1.03%	÷0.971	×0.600	×1.050	×0.995	0.67%
Home runs /BIP	1.03%	÷0.914	×0.470	—	×0.995	0.53%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 94, 2B 96, 3B 94, K 100, BB 96 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .345 → .247; ISO .101 → .065; BABIP .340 → .238. 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).

2023 DSLDSL Giants Black · 31 PAwOBA .295 → .191 (−104)K% 3.2% → 3.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	3.23%	÷1.020	×1.220	—	—	3.86%
BB% (unintentional) /PA	19.35%	÷1.002	×0.700	—	×1.008	13.62%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	8.33%	÷0.970	×0.680	—	×1.008	5.88%
Doubles /BIP	4.17%	÷1.028	×0.600	—	×1.008	2.45%
Triples /BIP	0.00%	÷1.150	×0.600	—	×1.008	0.00%
Home runs /BIP	4.17%	÷1.118	×0.470	—	×1.008	1.77%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 94, 2B 106, 3B 130, K 104, 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).

Result: wOBA .295 → .191; ISO .160 → .079; BABIP .130 → .085. 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
#5Tim 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
#6Ryan 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 5 projected seasons	2.1	1,406	24	21	225	287	336	+15	+15	1.6	1.6
/162	664	11	10	+7.1	+7.1	0.8	pk7: 2

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
Yosneiker Rivas (OGILVIE)	21	55	30	45	40	212/275/298	86	289	1	1	27%	7%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕David Medina 2009 · A	20	34→42	36→45	45→40	43	164/244/230	65	258	4	5	35%	9%	37	-3.3	201/260/298	97	309	8	4	35%	7%	58	-1.7	196/247/303	107	299	9	2	36%	6%	51	-1.2
✕Kelly Aponte 2011 · A	20	36	39→40	49→45	37	177/229/259	82	276	6	4	37%	6%	37	-3.3	195/266/282	87	265	7	6	27%	8%	57	-1.8	174/267/258	85	216	8	5	22%	10%	53	-0.8
✕Jimmy Paredes 2010 · A	21	43→53	37→50	50→55	40	202/239/274	72	247	3	8	20%	3%	43	-2.8	244/269/352	108	318	7	25	25%	3%	72	-0.7	255/284/384	129	348	12	15	30%	4%	85	+0.2
✕Matt Dean 2013 · A	20	40→49	38→45	48→40	31	181/228/264	83	330	5	6	44%	5%	37	-3.3	217/259/325	108	336	9	5	36%	4%	63	-1.3	215/259/328	114	327	10	3	36%	4%	61	-1.0
✕Gilbert Marrero 2016 · A	19	35	37→40	44→40	43	169/242/238	68	258	4	4	34%	8%	38	-3.2	181/235/248	67	324	3	6	42%	6%	36	-3.3	128/165/165	37	265	0	3	49%	4%	-12	-1.2
✕Héctor Gómez 2008 · A	20	35	40	44→50	41	178/228/263	86	239	8	8	29%	6%	38	-3.2	170/237/245	75	243	5	9	30%	8%	37	-3.3	136/214/200	65	193	4	10	30%	9%	18	-1.5
✕Dalton Smith 2014 · A	20	38	37→40	44→30	36	184/231/256	72	278	5	5	34%	5%	37	-3.3	193/249/279	86	277	7	5	31%	6%	50	-2.3	164/225/245	81	225	8	1	30%	6%	32	-1.3
✕Danny Contreras 2018 · A	20	34	35→40	49→50	51	164/247/225	61	221	3	8	25%	10%	37	-3.3	200/258/286	86	279	8	6	29%	7%	54	-2.0	192/231/274	82	255	14	2	30%	5%	39	-0.7
✕Antonio Jimenez 2008 · A	21	36→39	39→40	49→50	39	180/227/266	86	249	6	5	30%	6%	37	-3.3	185/217/251	66	296	3	10	37%	4%	30	-3.8	176/204/232	56	287	2	12	38%	3%	18	-2.6
✕Carlos Sanchez 2010 · A	19	36	40→45	50→45	44	174/224/273	98	211	6	6	21%	6%	38	-3.2	202/255/301	99	238	6	7	17%	6%	56	-1.9	206/255/322	116	240	8	6	17%	5%	60	-0.6
✕Joey Curletta 2013 · A	19	39→49	36→55	48→45	36	181/240/242	62	306	3	5	40%	6%	38	-3.2	216/268/306	90	297	7	5	28%	6%	62	-1.4	208/273/366	158	289	20	4	34%	8%	79	-0.2
✕Montrell Marshall 2018 · A	22	36	39→40	48→40	36	178/227/262	84	278	7	4	37%	6%	37	-3.3	178/240/269	91	312	6	4	42%	7%	44	-2.8	126/200/212	86	246	4	1	47%	7%	15	-2.1
✕Felix Marine 2011 · A	21	34	36→30	44→50	42	166/245/229	63	238	3	8	29%	7%	38	-3.2	181/244/253	72	247	4	9	27%	6%	42	-2.9	141/204/202	61	179	3	11	23%	5%	13	-1.4
✕John Silviano 2014 · A	20	33→34	41→50	42→40	41	167/237/259	92	258	8	4	37%	8%	41	-3.0	183/239/277	94	328	8	5	43%	6%	45	-2.7	178/239/321	143	275	18	2	41%	7%	54	-1.1
✕Michael Soto 2011 · A	19	34→37	37→40	42→45	46	169/244/234	65	236	5	5	29%	8%	38	-3.2	191/247/298	107	272	10	5	32%	7%	53	-2.1	196/236/303	107	266	10	6	29%	5%	48	-1.2
✕Jose Vicente 2015 · A	19	40→39	35→50	46→30	43	188/234/251	63	233	2	6	20%	5%	37	-3.3	197/250/284	87	251	6	4	23%	6%	51	-2.3	209/240/342	133	275	15	1	29%	4%	57	-0.7
✕Gerardo Carrizalez 2015 · A	20	37	36→30	48→45	43	175/240/239	64	239	3	6	26%	7%	37	-3.3	175/237/230	55	231	2	7	23%	7%	34	-3.5	132/198/158	26	169	0	7	20%	6%	3	-2.4
✕Roberto Perez 2008 · A	19	34	37→40	48→30	42	168/240/236	68	248	5	4	32%	7%	37	-3.3	168/239/242	74	220	6	3	25%	7%	38	-3.2	140/217/207	68	172	7	1	23%	8%	22	-1.6
✕Griffin Benson 2017 · A	19	39→25	36→45	47→30	38	189/238/247	58	274	3	4	31%	5%	37	-3.3	181/243/261	80	296	7	4	38%	6%	43	-2.8	153/228/256	102	262	11	2	43%	7%	35	-1.4
✕Kevin Franklin 2017 · A	22	38	39→40	46→45	32	188/222/274	86	282	6	4	35%	3%	37	-3.3	191/230/264	73	275	5	5	31%	4%	38	-3.2	140/167/174	35	194	3	0	29%	3%	-9	-1.6

Yosneiker Rivas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps