Dennys Riera

SS DSL Giants Black

Age 22 R/R 5'9" / 165 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1823ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKDSL Giants Bl…	107	.244/.387/.349	1	2	35	—	.133/.264/.167
2025	20	ROKDSL Giants Bl…	144	.200/.314/.292	0	3	9	—	.130/.236/.187
2026	21	ROKDSL Giants Bl…	221	.309/.411/.442	4	8	55	—	.198/.299/.267
2027PROJMLE	22	MLBSF	331	.212/.280/.297	3	5	64	0.0
2028PROJ34% MLB	23	MLBSF	53	.213/.281/.305	1	1	69	-0.0
2029PROJ46% MLB	24	MLBSF	107	.216/.284/.315	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 Rk

Z-Con%87

K%80

Whiff%74

wOBA67

wRC+66

ISO58

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsDru Baker (age 22) · Carter Burgess (age 22) · Levi Michael (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 118 proj PA

wRC+†64

AVG/OBP/SLG.210 / .277 / .295

PA118

HR1

K%26

BB%6

ISO85

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 57 / POW 37

Toolsscout grade

CONTACT57

scouting grade only

POWER37

scouting grade only

EYE43

scouting grade only

SPEED53

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	—	—	—
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		$0.0M		$0.0M	+$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)
2022	17	ROK	DSL Giants Orange	—	118	104	16	5	1	2	9	32	3	1	0	154	241	279	520	125	194	27	8	237	-16	—	—	—	—	—	—
2023	18	ROK	DSL Giants Black	—	218	188	39	10	0	3	18	44	7	4	1	207	300	309	609	101	247	20	8	277	7	—	—	—	—	—	—
2024	19	ROK	DSL Giants Black	—	107	86	21	6	0	1	14	24	6	2	2	244	387	349	736	105	323	22	13	342	35	—	—	—	—	—	—
2025	20	ROK	DSL Giants Black	—	144	120	24	5	3	0	8	30	12	3	1	200	314	292	606	92	255	21	6	279	9	—	—	—	—	—	—
2026	21	ROK	DSL Giants Black	—	221	181	56	12	0	4	17	34	15	8	2	309	411	442	853	133	347	15	8	375	55	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Giants Orange	—	118	106	10	3	1	1	7	39	3	1	0	94	172	170	342	75	118	33	6	145	-16	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Black	—	218	193	25	6	0	1	13	53	7	4	1	130	211	176	387	47	158	24	6	179	7	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Black	—	107	90	12	3	0	0	10	30	6	2	2	133	264	167	431	33	202	28	9	220	35	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Black	—	144	123	16	3	2	0	5	36	12	3	1	130	236	187	423	57	156	25	3	181	9	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	221	187	37	7	0	2	12	42	15	8	2	198	299	267	566	70	218	19	5	249	55	—	—	—	—	—	—
2022	17	ROK MLE	DSL Giants Orange	—	118	106	10	3	1	1	7	39	3	1	0	94	172	170	342	75	132	33	6	145	-16	—	—	—	—	—	—
2022	17	ROK RAW	DSL Giants Orange	—	118	104	16	5	1	2	9	32	3	1	0	154	241	279	520	125	194	27	8	237	-16	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Black	—	218	193	25	6	0	1	13	53	7	4	1	130	211	176	387	47	167	24	6	179	7	—	—	—	—	—	—
2023	18	ROK RAW	DSL Giants Black	—	218	188	39	10	0	3	18	44	7	4	1	207	300	309	609	101	247	20	8	277	7	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Black	—	107	90	12	3	0	0	10	30	6	2	2	133	264	167	431	33	197	28	9	220	35	—	—	—	—	—	—
2024	19	ROK RAW	DSL Giants Black	—	107	86	21	6	0	1	14	24	6	2	2	244	387	349	736	105	323	22	13	342	35	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Black	—	144	123	16	3	2	0	5	36	12	3	1	130	236	187	423	57	176	25	3	181	9	—	—	—	—	—	—
2025	20	ROK RAW	DSL Giants Black	—	144	120	24	5	3	0	8	30	12	3	1	200	314	292	606	92	255	21	6	279	9	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	221	187	37	7	0	2	12	42	15	8	2	198	299	267	566	70	233	19	5	249	55	—	—	—	—	—	—
2026	21	ROK RAW	DSL Giants Black	—	221	181	56	12	0	4	17	34	15	8	2	309	411	442	853	133	347	15	8	375	55	—	—	—	—	—	—
2022	17	ROK MLE	DSL Giants Orange	—	118	107	10	3	1	1	7	39	3	1	0	93	172	168	341	75	118	33	6	145	-16	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Black	—	218	196	25	6	0	1	13	53	7	4	1	128	211	173	385	46	158	24	6	179	7	—	—	—	—	—	—
2024	19	ROK MLE	DSL Giants Black	—	107	90	12	3	0	0	10	30	6	2	2	133	264	167	431	33	202	28	9	220	35	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Black	—	144	126	16	3	2	0	5	36	12	3	1	127	236	183	418	56	156	25	3	181	9	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	221	192	37	7	0	2	12	42	15	8	2	193	299	260	559	68	218	19	5	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Giants Black	—	107	90	12	3	0	0	10	30	6	2	2	133	264	167	431	33	202	28	9	220	35	—	—	—	—	—	—
2025	20	ROK MLE	DSL Giants Black	—	144	126	16	3	2	0	5	36	12	3	1	127	236	183	418	56	156	25	3	181	9	—	—	—	—	—	—
2026	21	ROK MLE	DSL Giants Black	—	221	192	37	7	0	2	12	42	15	8	2	193	299	260	559	68	218	19	5	249	55	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	SF	0%	331	299	64	12	2	3	21	87	8	5	2	212	280	297	577	85	284	26	6	264	64	-14	+0	+0	+4	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	SF	34%	153	139	30	5	1	2	10	40	3	3	1	216	284	311	595	95	286	26	7	271	69	-6	+0	+0	+2	+3	-0.0
2029	24	MLB MLE	SF	46%	231	209	46	8	2	3	15	59	5	4	1	219	288	322	610	102	287	26	6	276	73	-7	+0	+0	+2	+5	0.1
2030	25	MLB MLE	SF	52%	295	267	60	11	2	5	20	75	6	6	2	222	290	330	620	108	287	25	7	280	76	-8	+0	+0	+3	+6	0.2
2031	26	MLB MLE	SF	54%	341	308	68	12	2	6	23	86	7	6	2	223	292	335	627	112	287	25	7	283	78	-9	+0	+0	+4	+7	0.3
2032	27	MLB MLE	SF	54%	359	324	72	13	2	6	25	91	7	7	2	223	292	336	629	113	287	25	7	284	78	-9	+1	+0	+4	+8	0.3
2033	28	MLB MLE	SF	54%	366	331	72	13	2	6	25	93	7	6	2	222	291	332	623	111	287	25	7	282	77	-10	+0	-1	+4	+8	0.1
2034	29	MLB MLE	SF	53%	363	328	72	13	2	6	25	94	7	6	2	219	288	326	614	107	286	26	7	278	74	-11	+0	-1	+4	+8	-0.0
2035	30	MLB MLE	SF	52%	355	321	70	13	2	5	24	93	7	5	3	217	285	319	604	102	284	26	7	274	71	-12	-0	-2	+4	+8	-0.3
2028	23	MLB CTX	SF	34%	53	49	10	2	0	1	3	14	1	1	0	213	281	305	586	92	282	26	6	267	69	-2	+0	+0	+1	+1	-0.0
2029	24	MLB CTX	SF	46%	107	97	21	4	1	1	7	27	2	2	1	216	284	315	599	99	283	25	7	272	73	-3	+0	+0	+1	+2	0.0
2030	25	MLB CTX	SF	52%	152	138	30	6	1	2	10	39	3	3	1	218	287	322	609	104	284	26	7	276	76	-4	+0	+0	+2	+3	0.1
2031	26	MLB CTX	SF	54%	185	167	37	7	1	3	12	47	4	3	1	219	288	327	616	108	284	25	6	279	78	-5	+0	+0	+2	+4	0.1
2032	27	MLB CTX	SF	54%	195	176	38	7	1	3	13	49	4	4	1	220	289	328	617	109	284	25	7	279	78	-5	+0	+0	+2	+4	0.2
2033	28	MLB CTX	SF	54%	199	179	39	7	1	3	14	51	4	3	1	218	287	324	611	106	283	26	7	277	77	-6	+0	-0	+2	+4	0.1
2034	29	MLB CTX	SF	53%	193	174	38	7	1	3	13	50	4	3	1	216	285	319	603	103	282	26	7	274	74	-6	+0	-1	+2	+4	-0.0
2035	30	MLB CTX	SF	52%	186	168	37	7	1	3	13	49	3	3	1	213	281	312	593	99	281	26	7	270	71	-6	+0	-1	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1270	1148	250	47	7	19	85	326	25	22	7	218	286	321	607	103	285	26	7	275	62	-37	+2	-2	+14	+28	0.3
/ 162G	—	A+C		—	650	588	129	24	4	10	44	167	13	11	4	219	289	325	614	105	287	26	7	275	62	-19	+1	-1	+7	+14	0.2
Career	—	MLE		—	3389	3033	613	114	19	44	221	862	95	63	22	202	277	296	573	94	263	25	7	260	62	-78	+3	-4	+28	+56	0.4
/ 162G	—	MLE		—	650	582	118	22	4	8	42	165	18	12	4	203	277	296	572	93	265	25	6	260	62	-20	+1	-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 DSLDSL Giants Black · 221 PAwOBA .377 → .249 (−128)K% 15.4% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.000	×1.220	—	—	18.77%
BB% (unintentional) /PA	7.69%	÷1.000	×0.700	—	×0.975	5.25%
HBP% /PA	6.79%	—	×0.700	—	×0.975	4.63%
Singles /BIP	27.21%	÷1.000	×0.680	×0.986	×0.975	17.79%
Doubles /BIP	8.16%	÷1.000	×0.600	×0.986	×0.975	4.71%
Triples /BIP	0.00%	÷1.000	×0.600	×0.986	×0.975	0.00%
Home runs /BIP	2.72%	÷1.000	×0.470	—	×0.975	1.25%

Factors used: level-wide DSL 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 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .377 → .249; ISO .133 → .074; BABIP .347 → .218. 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 · 144 PAwOBA .280 → .181 (−99)K% 20.8% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.83%	÷1.007	×1.220	—	—	25.25%
BB% (unintentional) /PA	5.56%	÷1.075	×0.700	—	×0.985	3.56%
HBP% /PA	8.33%	—	×0.700	—	×0.985	5.75%
Singles /BIP	17.78%	÷1.014	×0.680	×0.959	×0.985	11.26%
Doubles /BIP	5.56%	÷1.014	×0.600	×0.959	×0.985	3.11%
Triples /BIP	3.33%	÷0.974	×0.600	×0.959	×0.985	1.94%
Home runs /BIP	0.00%	÷1.022	×0.470	—	×0.985	0.00%

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 ×0.959.

Result: wOBA .280 → .181; ISO .092 → .055; BABIP .255 → .156. 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 Black · 107 PAwOBA .338 → .220 (−118)K% 22.4% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.43%	÷0.977	×1.220	—	—	28.01%
BB% (unintentional) /PA	13.08%	÷0.971	×0.700	—	×0.995	9.38%
HBP% /PA	5.61%	—	×0.700	—	×0.995	3.91%
Singles /BIP	22.58%	÷0.982	×0.680	×0.969	×0.995	15.08%
Doubles /BIP	9.68%	÷1.057	×0.600	×0.969	×0.995	5.30%
Triples /BIP	0.00%	÷1.127	×0.600	×0.969	×0.995	0.00%
Home runs /BIP	1.61%	÷1.092	×0.470	—	×0.995	0.69%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 96, 2B 111, 3B 125, K 95, BB 94 — 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 ×0.969.

Result: wOBA .338 → .220; ISO .105 → .054; BABIP .323 → .202. 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 · 218 PAwOBA .276 → .179 (−97)K% 20.2% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.18%	÷1.020	×1.220	—	—	24.15%
BB% (unintentional) /PA	8.26%	÷1.002	×0.700	—	×1.008	5.81%
HBP% /PA	3.21%	—	×0.700	—	×1.008	2.26%
Singles /BIP	18.06%	÷0.970	×0.680	×0.962	×1.008	12.27%
Doubles /BIP	6.94%	÷1.028	×0.600	×0.962	×1.008	3.93%
Triples /BIP	0.00%	÷1.150	×0.600	×0.962	×1.008	0.00%
Home runs /BIP	2.08%	÷1.118	×0.470	—	×1.008	0.88%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .276 → .179; ISO .101 → .052; BABIP .247 → .158. 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).

2022 DSLDSL Giants Orange · 118 PAwOBA .235 → .145 (−90)K% 27.1% → 32.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.12%	÷1.005	×1.220	—	—	32.91%
BB% (unintentional) /PA	7.63%	÷0.976	×0.700	—	×1.022	5.59%
HBP% /PA	2.54%	—	×0.700	—	×1.022	1.82%
Singles /BIP	11.11%	÷1.010	×0.680	×0.968	×1.022	7.40%
Doubles /BIP	6.94%	÷1.060	×0.600	×0.968	×1.022	3.89%
Triples /BIP	1.39%	÷1.150	×0.600	×0.968	×1.022	0.72%
Home runs /BIP	2.78%	÷0.973	×0.470	—	×1.022	1.37%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 102, 2B 112, 3B 130, K 101, BB 95 — 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 ×0.968.

Result: wOBA .235 → .145; ISO .125 → .064; BABIP .194 → .118. 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
#4Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	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	1,387	22	24	221	286	327	+15	+15	1.3	1.3
/162	664	10	11	+7.1	+7.2	0.6	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
Dennys Riera (OGILVIE)	22	52→57	32→37	48→53	43	210/277/295	85	284	1	2	26%	6%	64	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dru Baker 2022 · A	22	45→55	38→40	56→60	41	213/265/295	82	297	4	14	29%	6%	59	-1.7	241/298/346	105	336	10	30	29%	7%	83	+0.1	250/304/340	90	346	8	39	28%	6%	80	-0.1
✕Carter Burgess 2015 · A	22	47	38→40	52→50	42	224/272/304	80	293	5	9	25%	5%	63	-1.3	214/259/289	75	282	4	6	24%	5%	55	-2.0	201/235/254	52	255	3	2	21%	4%	34	-0.9
✕Levi Michael 2013 · A	22	44→54	36→45	52→55	48	204/281/269	64	271	3	6	24%	8%	59	-1.6	220/292/303	83	289	5	16	24%	8%	72	-0.7	227/300/319	93	295	5	22	23%	8%	76	-0.2
✕Tim Kennelly 2009 · A	22	48→52	38→40	50→40	42	224/278/311	87	312	5	6	28%	6%	67	-1.1	234/291/331	97	293	6	6	21%	6%	77	-0.3	232/290/328	96	286	5	5	20%	6%	73	-0.4
✕Walter Rasquin 2018 · A	22	47	37→30	49→50	43	225/273/297	73	290	5	9	24%	6%	61	-1.5	198/247/285	87	272	7	12	28%	5%	50	-2.3	125/168/187	62	169	6	10	30%	3%	-5	-2.8
✕Ross Wilson 2011 · A	22	46→47	37→40	51→45	45	216/279/294	78	277	4	6	22%	6%	64	-1.3	209/278/290	81	276	4	7	24%	7%	63	-1.3	198/271/273	75	264	4	6	25%	7%	55	-1.3
✕José Alvarez 2022 · A	22	46	36→40	51→50	39	214/263/283	69	308	3	9	30%	6%	55	-2.0	230/280/293	63	327	3	10	29%	6%	63	-1.3	237/288/286	49	330	2	10	27%	6%	60	-0.8
✕Breland Almadova 2013 · A	22	48→51	36→40	51→55	43	224/271/301	77	286	3	9	22%	5%	62	-1.4	219/273/305	86	307	6	14	29%	6%	64	-1.3	219/276/304	85	305	6	18	29%	6%	61	-1.2
✕Matthew Batten 2018 · A	23	43→53	38→40	51→55	41	206/258/292	86	290	5	6	30%	6%	55	-1.9	225/281/308	83	326	6	12	30%	7%	68	-1.0	221/295/311	89	305	9	27	28%	9%	71	-0.6
✕Raul Navarro 2014 · A	22	46→56	34→40	50	43	215/264/267	52	282	2	11	24%	6%	51	-2.2	235/284/307	72	308	4	11	24%	6%	68	-1.0	243/292/312	70	316	4	12	23%	6%	70	-0.6
✕Keith Grieshaber 2017 · A	22	48	35→40	51→55	39	222/265/288	66	294	2	11	24%	4%	57	-1.8	233/295/321	88	294	5	17	21%	6%	76	-0.4	246/315/341	95	301	6	26	19%	6%	85	+0.1
✕Blake Rambusch 2023 · A	23	47	37→30	52→65	42	219/286/293	74	316	4	14	30%	7%	67	-1.1	231/319/297	66	315	3	29	25%	9%	80	-0.1	237/325/293	56	311	2	37	22%	9%	78	-0.1
✕Wynton Bernard 2013 · A	22	43→53	39→45	52→60	41	205/265/292	87	296	6	10	31%	7%	59	-1.7	240/290/330	90	318	5	19	24%	6%	76	-0.4	267/311/358	91	327	5	28	19%	5%	86	+0.3
✕Jhonny Bethencourt 2019 · A	22	48	37→30	52→50	40	224/267/308	84	307	3	9	27%	5%	61	-1.5	205/252/277	72	301	4	11	31%	6%	49	-2.4	165/213/193	28	251	0	13	32%	6%	15	-1.7
✕Levi Jordan 2019 · A	23	44→54	37→45	51→50	41	209/255/287	78	280	4	9	26%	5%	53	-2.1	198/249/272	74	276	5	6	28%	6%	47	-2.5	239/303/357	118	297	11	15	22%	6%	84	+0.1
✕Tyler Ladendorf 2011 · A	23	47→49	39→40	51→50	41	224/268/315	91	292	6	12	25%	5%	64	-1.3	206/262/296	90	263	8	8	24%	6%	58	-1.7	224/285/315	91	283	6	3	22%	7%	69	-0.4
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Mitch Delfino 2013 · A	22	43→52	38→45	51→40	44	202/258/287	84	258	4	8	22%	6%	54	-2.0	234/272/342	108	276	11	4	19%	5%	72	-0.7	240/278/339	99	281	10	3	18%	5%	71	-0.7
✕Evan Crawford 2011 · A	22	47→57	38→40	59→55	37	221/262/311	90	311	4	17	29%	5%	60	-1.6	239/285/324	85	332	4	19	28%	4%	72	-0.7	260/305/334	74	360	2	25	26%	4%	78	-0.2
✕Jose Gomez 2019 · A	22	50→56	35→40	46→50	39	236/270/296	59	301	3	11	22%	4%	59	-1.6	216/256/284	68	305	4	8	29%	4%	52	-2.2	209/253/289	80	298	5	8	30%	4%	50	-1.5

Dennys Riera

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps