Yandel Ricardo

SS Columbia Fireflies

Age 20 S/R 6'1" / 180 lbs A HR -15%K -8% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP35OGV rank#719ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Royals Ve…	196	.213/.332/.366	2	14	27	—	.145/.233/.237
2025	18	A/ROKKC	345	.264/.349/.375	2	31	54	—	.211/.278/.299
2026	19	AKC	458	.266/.353/.398	7	27	80	—	.245/.311/.360
2027PROJMLE	20	MLBKC	568	.212/.276/.307	6	17	65	-0.1
2028PROJ34% MLB	21	MLBKC	142	.217/.283/.325	2	4	73	-0.0
2029PROJ48% MLB	22	MLBKC	223	.222/.289/.341	4	6	80	0.2

Next 3 projected WAR 0.1Projected 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$4M2033Arb-2$6M2034Arb-3$9M

Skills · percentileMiLB Statcast 2026 A

Speed85

K%73

Whiff%65

Z-Con%65

wOBA54

wRC+51

Career WAR0.0 WAR median (P10 -0.4 / P90 12, comp-based) · star 1% · didn't stick 78%

CompsBrainer Bonaci (age 20) · Angel Martínez (age 20) · Karexon Sanchez (age 20)

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

wRC+†65

AVG/OBP/SLG.210 / .274 / .304

PA210

HR2

SB6

K%25

BB%7

ISO95

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	+0.2	$0.7M	+$0.0M
2030	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Arb-1	$4M	+0.8	$2M	+$0.0M (cut)
2033	Arb-2	$6M	+0.8	$2M	+$0.0M (cut)
2034	Arb-3	$9M	+0.7	$2M	+$0.0M (cut)
Totals		$3M		$10M	+$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 Royals Ventura	—	196	164	35	7	6	2	25	34	4	14	5	213	332	366	697	152	256	17	13	313	27	—	—	—	—	—	—
2025	18	A	Columbia Fireflies	—	200	179	38	6	2	0	13	41	4	14	3	212	281	268	549	56	273	20	6	250	29	—	—	—	—	—	—
2025	18	ROK	ACL Royals	—	145	120	41	7	5	2	18	35	4	17	5	342	444	533	977	192	459	24	12	422	88	—	—	—	—	—	—
2026	19	A	Columbia Fireflies	—	458	394	105	17	7	7	48	91	5	27	16	266	353	398	752	132	328	20	10	332	80	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Royals Ventura	—	196	173	25	5	4	1	16	42	4	14	5	145	233	237	470	92	173	21	8	208	27	—	—	—	—	—	—
2025	18	A MLE	Columbia Fireflies	—	200	183	34	6	2	0	9	57	4	14	3	186	240	240	480	55	257	28	4	211	29	—	—	—	—	—	—
2025	18	ROK MLE	ACL Royals	—	145	126	31	5	3	2	12	51	4	17	5	246	331	381	712	135	362	35	8	298	88	—	—	—	—	—	—
2026	19	A MLE	Columbia Fireflies	—	458	408	100	15	7	6	34	124	5	27	16	245	311	360	671	115	319	27	7	286	80	—	—	—	—	—	—
2024	17	ROK MLE	DSL Royals Ventura	—	196	173	25	5	4	1	16	42	4	14	5	145	233	237	470	92	183	21	8	208	27	—	—	—	—	—	—
2024	17	ROK RAW	DSL Royals Ventura	—	196	164	35	7	6	2	25	34	4	14	5	213	332	366	697	152	256	17	13	313	27	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	345	309	65	11	5	2	21	108	8	31	8	210	278	298	576	87	312	31	6	248	54	—	—	—	—	—	—
2025	18	A RAW	2 teams	—	345	299	79	13	7	2	31	76	8	31	8	264	349	375	724	110	344	22	9	322	54	—	—	—	—	—	—
2026	19	A MLE	Columbia Fireflies	—	458	408	100	15	7	6	34	124	5	27	16	245	311	360	671	115	335	27	7	286	80	—	—	—	—	—	—
2026	19	A RAW	Columbia Fireflies	—	458	394	105	17	7	7	48	91	5	27	16	266	353	398	752	132	328	20	10	332	80	—	—	—	—	—	—
2024	17	ROK MLE	DSL Royals Ventura	—	196	174	25	5	4	1	16	42	4	14	5	144	233	236	469	92	173	21	8	208	27	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	345	313	65	11	5	2	21	108	8	31	8	208	278	294	572	86	301	31	6	248	54	—	—	—	—	—	—
2026	19	A MLE	Columbia Fireflies	—	458	416	100	15	7	6	34	124	5	27	16	240	311	353	664	113	319	27	7	286	80	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Royals Ventura	—	196	174	25	5	4	1	16	42	4	14	5	144	233	236	469	92	173	21	8	208	27	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	345	313	65	11	5	2	21	108	8	31	8	208	278	294	572	86	301	31	6	248	54	—	—	—	—	—	—
2026	19	A MLE	Columbia Fireflies	—	458	416	100	15	7	6	34	124	5	27	16	240	311	353	664	113	319	27	7	286	80	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	KC	0%	568	517	110	18	7	6	39	141	7	17	7	212	276	307	583	95	277	25	7	264	65	-24	+1	-2	+6	+12	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	KC	34%	414	376	83	14	5	6	30	100	5	12	5	218	285	329	613	110	278	24	7	277	73	-13	+0	-1	+4	+9	-0.0
2029	22	MLB MLE	KC	48%	461	418	93	16	5	8	34	109	6	12	5	224	291	346	638	122	280	24	7	286	80	-11	+0	-0	+5	+10	0.4
2030	23	MLB MLE	KC	54%	512	462	107	18	6	11	39	119	6	13	5	228	296	358	654	130	281	23	8	293	84	-10	+1	+1	+5	+11	0.8
2031	24	MLB MLE	KC	55%	571	515	119	20	6	13	44	132	7	13	5	231	299	366	665	135	283	23	8	297	87	-9	+1	+2	+6	+12	1.2
2032	25	MLB MLE	KC	56%	590	532	123	21	6	13	46	135	7	13	5	232	301	369	670	138	283	23	8	300	89	-8	+1	+2	+6	+13	1.4
2033	26	MLB MLE	KC	56%	599	540	125	21	6	14	47	137	7	12	5	232	301	369	670	138	283	23	8	300	89	-8	+0	+2	+6	+13	1.4
2034	27	MLB MLE	KC	55%	596	538	124	21	6	13	46	138	7	11	5	231	300	367	667	136	282	23	8	298	88	-9	+0	+2	+6	+13	1.3
2035	28	MLB MLE	KC	55%	585	528	121	20	6	13	45	136	7	9	4	229	298	362	660	133	282	23	8	296	86	-10	+0	+1	+6	+13	1.1
2036	29	MLB MLE	KC	53%	568	513	116	19	6	12	44	134	6	8	4	227	296	356	652	130	281	24	8	292	84	-11	+0	+0	+6	+12	0.8
2037	30	MLB MLE	KC	53%	552	499	112	19	5	11	42	132	6	6	4	224	292	349	641	125	279	24	8	288	81	-13	-0	-1	+6	+12	0.5
2038	31	MLB MLE	KC	52%	534	483	107	18	5	10	40	130	6	4	6	220	287	340	627	120	276	24	7	282	77	-15	-2	-1	+6	+12	-0.0
2028	21	MLB CTX	KC	34%	142	129	29	5	2	2	10	34	2	4	2	217	283	325	608	108	277	24	7	274	73	-5	+0	-0	+2	+3	-0.0
2029	22	MLB CTX	KC	48%	223	202	45	7	3	4	16	53	3	6	2	222	289	341	631	119	279	24	7	283	80	-5	+0	-0	+2	+5	0.2
2030	23	MLB CTX	KC	54%	278	252	56	9	3	5	21	65	3	7	3	226	294	352	646	126	280	23	8	290	84	-5	+0	+0	+3	+6	0.4
2031	24	MLB CTX	KC	55%	316	285	65	11	4	6	24	73	4	7	3	228	297	359	656	131	281	23	8	294	87	-5	+0	+1	+3	+7	0.7
2032	25	MLB CTX	KC	56%	330	297	69	12	4	7	26	76	4	7	3	229	299	363	661	133	282	23	8	296	89	-4	+0	+1	+4	+7	0.8
2033	26	MLB CTX	KC	56%	337	304	70	12	4	7	26	77	4	7	3	229	299	362	661	133	281	23	8	296	89	-4	+0	+1	+4	+7	0.8
2034	27	MLB CTX	KC	55%	330	297	69	12	4	7	26	76	4	6	3	228	298	360	658	132	281	23	8	295	88	-5	+0	+1	+4	+7	0.7
2035	28	MLB CTX	KC	55%	321	289	65	11	3	6	25	75	4	5	2	226	296	356	652	129	280	23	8	292	86	-5	+0	+1	+3	+7	0.6
2036	29	MLB CTX	KC	53%	303	274	61	10	3	6	23	71	3	4	2	224	293	350	643	126	279	23	8	289	84	-6	+0	+0	+3	+7	0.4
2037	30	MLB CTX	KC	53%	290	263	58	10	3	5	22	69	3	3	2	221	290	343	633	121	278	24	8	285	81	-7	-0	-0	+3	+6	0.2
2038	31	MLB CTX	KC	52%	278	252	55	9	3	5	21	68	3	2	3	218	285	334	619	116	275	24	8	279	77	-8	-1	-1	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3148	2844	642	108	36	60	240	737	37	58	28	226	294	352	647	127	282	23	8	290	80	-59	+0	+3	+34	+68	4.8
/ 162G	—	A+C		—	650	587	131	22	7	12	50	152	8	12	6	223	293	346	639	123	279	23	8	290	80	-12	+0	+1	+7	+14	1.0
Career	—	MLE		—	7191	6485	1460	245	80	135	543	1728	89	191	85	225	294	350	644	125	284	24	8	287	80	-123	+1	+5	+66	+134	8.5
/ 162G	—	MLE		—	650	586	131	22	7	12	49	156	8	17	8	224	292	346	639	123	282	24	8	287	80	-13	+0	+0	+7	+14	0.9

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 AColumbia Fireflies · 458 PAwOBA .325 → .286 (−39)K% 19.9% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.87%	÷1.000	×1.360	—	—	27.02%
BB% (unintentional) /PA	10.48%	÷1.000	×0.690	—	×1.030	7.45%
HBP% /PA	1.09%	—	×0.780	—	×1.030	0.88%
Singles /BIP	24.42%	÷1.000	×0.920	×1.050	×1.030	24.30%
Doubles /BIP	5.61%	÷1.000	×0.830	×1.050	×1.030	5.04%
Triples /BIP	2.31%	÷1.000	×0.910	×1.050	×1.030	2.27%
Home runs /BIP	2.31%	÷1.000	×0.800	—	×1.030	1.90%

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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .325 → .286; ISO .132 → .115; BABIP .328 → .319. 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 AColumbia Fireflies · 200 PAwOBA .246 → .211 (−35)K% 20.5% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.50%	÷0.982	×1.360	—	—	28.38%
BB% (unintentional) /PA	6.50%	÷1.006	×0.690	—	×1.045	4.66%
HBP% /PA	2.00%	—	×0.780	—	×1.045	1.63%
Singles /BIP	21.74%	÷1.099	×0.920	×1.050	×1.045	19.97%
Doubles /BIP	4.35%	÷0.913	×0.830	×1.050	×1.045	4.34%
Triples /BIP	1.45%	÷0.937	×0.910	×1.050	×1.045	1.54%
Home runs /BIP	0.00%	÷1.086	×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): HR 117, 1B 120, 2B 83, 3B 87, K 96, BB 101 — 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 ×1.050.

Result: wOBA .246 → .211; ISO .056 → .054; BABIP .273 → .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).

2025 ROKACL Royals · 145 PAwOBA .417 → .298 (−119)K% 24.1% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.14%	÷0.985	×1.440	—	—	35.31%
BB% (unintentional) /PA	12.41%	÷0.971	×0.620	—	×1.008	7.99%
HBP% /PA	2.76%	—	×0.720	—	×1.008	2.00%
Singles /BIP	31.76%	÷1.019	×0.820	×1.014	×1.008	26.10%
Doubles /BIP	8.24%	÷0.975	×0.720	×1.014	×1.008	6.21%
Triples /BIP	5.88%	÷1.070	×0.720	×1.014	×1.008	4.04%
Home runs /BIP	2.35%	÷0.939	×0.780	—	×1.008	1.97%

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 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 ×1.014.

Result: wOBA .417 → .298; ISO .192 → .134; BABIP .459 → .362. 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 · 196 PAwOBA .305 → .208 (−97)K% 17.3% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.35%	÷1.000	×1.220	—	—	21.17%
BB% (unintentional) /PA	12.24%	÷1.022	×0.700	—	×1.008	8.45%
HBP% /PA	2.04%	—	×0.700	—	×1.008	1.44%
Singles /BIP	15.38%	÷1.014	×0.680	×1.049	×1.008	10.90%
Doubles /BIP	5.38%	÷0.982	×0.600	×1.049	×1.008	3.48%
Triples /BIP	4.62%	÷1.012	×0.600	×1.049	×1.008	2.89%
Home runs /BIP	1.54%	÷0.994	×0.470	—	×1.008	0.73%

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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .305 → .208; ISO .152 → .094; BABIP .256 → .173. 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
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Alex 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
#3Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,360	68	65	227	292	356	+36	+8	6.3	5.8
/162	664	13	13	+7.1	+1.7	1.2	pk7: 5
#5Ronny 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
#6Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3

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
Yandel Ricardo (OGILVIE)	20	—	—	—	—	210/274/304	94	277	2	6	25%	7%	65	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Angel Martínez 2022 · A	20	42→50	41→50	50	45	204/264/307	103	268	7	10	26%	7%	61	-1.5	231/294/358	127	293	12	10	24%	7%	84	+0.2	236/284/389	154	280	16	12	22%	5%	89	+0.4
✕Karexon Sanchez 2008 · A	20	40→47	38→45	50	46	194/262/268	74	258	6	14	26%	8%	52	-2.2	208/274/317	109	299	10	11	32%	7%	68	-1.0	220/298/324	104	305	10	11	29%	8%	76	-0.3
✕Rosell Herrera 2013 · A	20	40→50	37→45	48→55	42	193/245/268	75	263	5	9	28%	6%	45	-2.7	238/286/328	90	316	8	10	26%	6%	74	-0.6	253/308/344	91	321	4	24	21%	7%	84	+0.1
✕Dalton Pompey 2013 · A	20	41→51	40→45	55	44	198/266/291	93	280	8	16	30%	8%	59	-1.7	243/305/349	106	326	7	24	25%	8%	86	+0.3	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Eliezer Álvarez 2014 · A	19	36→46	37→45	50→55	46	176/242/253	76	228	4	12	24%	7%	41	-3.0	231/280/336	105	295	5	13	22%	6%	74	-0.6	254/307/364	110	341	6	19	26%	6%	88	+0.3
✕Shawn O'Malley 2008 · A	20	42→52	36→40	50→60	41	199/263/266	68	282	4	11	29%	6%	52	-2.2	217/293/272	55	302	1	24	26%	7%	65	-1.2	259/320/356	97	321	5	23	20%	7%	91	+0.4
✕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
✕Geraldo Quintero 2022 · A	20	38→47	35→40	52→60	47	181/251/244	63	237	2	17	23%	8%	42	-2.9	216/281/305	89	285	5	23	24%	7%	68	-1.0	218/285/304	87	285	5	28	24%	7%	66	-0.9
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Blake Perkins 2018 · A	21	45→51	40→50	51→55	44	216/276/308	92	292	7	15	28%	7%	66	-1.1	204/272/289	85	295	7	17	31%	8%	61	-1.5	227/310/355	127	301	12	25	27%	10%	89	+0.4
✕Jorge Barrosa 2021 · A	20	46→52	38→45	55	45	218/283/303	84	283	5	18	24%	6%	68	-1.0	233/297/347	114	294	9	19	23%	7%	83	+0.1	234/307/360	127	282	11	18	20%	9%	86	+0.3
✕Riley Unroe 2017 · A	21	42→47	36→45	46→55	44	199/262/261	62	279	4	12	29%	7%	50	-2.3	203/271/281	78	291	6	12	30%	8%	58	-1.7	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕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
✕Angelo Mora 2014 · A	21	41→51	36→45	48→45	41	198/241/266	68	262	4	13	26%	5%	42	-2.9	228/270/315	87	306	4	6	25%	5%	64	-1.3	259/294/363	103	333	5	4	23%	4%	81	-0.0
✕Pablo Aliendo 2021 · A	20	38	36→50	50→45	44	181/261/246	65	268	3	13	31%	8%	47	-2.5	202/271/300	98	303	9	5	34%	6%	63	-1.3	206/275/350	144	296	17	5	34%	7%	73	-0.3
✕Frainyer Chavez 2019 · A	20	46→47	38→40	54→50	42	217/271/293	76	299	5	21	28%	6%	61	-1.5	207/269/264	57	287	2	13	26%	7%	53	-2.1	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Josh Johnson 2006 · A	20	43→50	39→45	48→50	50	203/281/298	95	268	5	9	24%	9%	66	-1.1	222/309/292	70	291	3	10	22%	11%	75	-0.5	247/316/346	99	293	8	16	17%	9%	86	+0.2
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6

Yandel Ricardo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps