Ashly Andujar

SS Fresno Grizzlies

Age 20 S/R 6'1" / 163 lbs A HR +30%H +12% Svc 0.0 · Ctrl thru 2035

Overview

APROSPECTMiLBFA 2036

OGV OFP35OGV rank#1820ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Colorado	229	.291/.379/.352	0	17	45	—	.200/.278/.229
2025	18	ROKCOL	217	.319/.375/.356	0	7	63	—	.265/.308/.291
2026	19	A/ROKCOL	423	.244/.310/.321	3	7	52	—	.222/.271/.287
2027PROJMLE	20	MLBCOL	533	.216/.264/.275	3	8	52	-0.4
2028PROJ25% MLB	21	MLBCOL	92	.233/.282/.318	1	2	60	-0.1
2029PROJ38% MLB	22	MLBCOL	157	.239/.289/.339	2	3	68	-0.1

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$3M+1

Skills · percentileMiLB Statcast 2026 A

K%72

Whiff%65

Z-Con%65

Speed56

ISO23

wOBA18

Career WAR0.0 WAR median (P10 -0.6 / P90 9.9, comp-based) · star 1% · didn't stick 78%

CompsAngelo Mora (age 20) · Brainer Bonaci (age 20) · Rosell Herrera (age 20)

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

wRC+†52

AVG/OBP/SLG.214 / .262 / .273

PA210

HR1

K%24

BB%5

ISO59

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$3M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	—	—	—
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$2M	+0.3	$0.8M	+$0.0M (cut)
2034	Arb-2	$3M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-3	$4M	+0.1	$0.2M	+$0.0M (cut)
Totals		$2M		$3M	+$0.3M

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 Colorado	—	229	199	58	8	2	0	22	31	6	17	8	291	379	352	731	60	341	14	10	335	45	—	—	—	—	—	—
2025	18	ROK	ACL Rockies	—	217	191	61	7	0	0	15	31	2	7	2	319	375	356	731	37	374	14	7	322	63	—	—	—	—	—	—
2026	19	A	Fresno Grizzlies	—	361	327	79	10	4	3	26	72	3	6	4	242	303	324	628	83	298	20	7	283	53	—	—	—	—	—	—
2026	19	ROK	ACL Rockies	—	62	50	13	2	0	0	7	9	0	1	1	260	351	300	651	40	302	15	11	281	47	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Colorado	—	229	205	41	4	1	0	16	36	6	17	8	200	278	229	507	29	237	16	7	234	45	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rockies	—	217	196	52	5	0	0	10	45	2	7	2	265	308	291	599	26	319	21	5	261	63	—	—	—	—	—	—
2026	19	A MLE	Fresno Grizzlies	—	361	334	74	9	4	2	19	98	3	6	4	222	270	290	560	69	296	27	5	247	53	—	—	—	—	—	—
2026	19	ROK MLE	ACL Rockies	—	62	53	12	2	0	0	4	13	0	1	1	226	281	264	545	38	258	21	6	237	47	—	—	—	—	—	—
2024	17	ROK MLE	DSL Colorado	—	229	205	41	4	1	0	16	36	6	17	8	200	278	229	507	29	240	16	7	234	45	—	—	—	—	—	—
2024	17	ROK RAW	DSL Colorado	—	229	199	58	8	2	0	22	31	6	17	8	291	379	352	731	60	341	14	10	335	45	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rockies	—	217	196	52	5	0	0	10	45	2	7	2	265	308	291	599	26	338	21	5	261	63	—	—	—	—	—	—
2025	18	ROK RAW	ACL Rockies	—	217	191	61	7	0	0	15	31	2	7	2	319	375	356	731	37	374	14	7	322	63	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	423	387	86	10	4	2	23	111	3	7	5	222	271	284	555	62	301	26	5	246	52	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	423	377	92	12	4	3	33	81	3	7	5	244	310	321	631	77	299	19	8	282	52	—	—	—	—	—	—
2024	17	ROK MLE	DSL Colorado	—	229	205	41	4	1	0	16	36	6	17	8	200	278	229	507	29	237	16	7	234	45	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rockies	—	217	203	52	5	0	0	10	45	2	7	2	256	308	281	588	25	319	21	5	261	63	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	423	394	86	10	4	2	23	111	3	7	5	218	271	279	550	61	290	26	5	246	52	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Colorado	—	229	205	41	4	1	0	16	36	6	17	8	200	278	229	507	29	237	16	7	234	45	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rockies	—	217	203	52	5	0	0	10	45	2	7	2	256	308	281	588	25	319	21	5	261	63	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	423	394	86	10	4	2	23	111	3	7	5	218	271	279	550	61	290	26	5	246	52	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	COL	0%	533	496	108	15	3	3	28	129	4	8	4	216	264	275	539	59	284	24	5	245	52	-30	+0	-1	+6	+12	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	COL	25%	368	342	76	11	2	3	20	87	3	7	3	222	272	296	568	75	285	24	5	257	60	-17	+0	-0	+4	+8	-0.6
2029	22	MLB MLE	COL	38%	412	382	86	12	2	6	24	96	3	8	3	227	279	315	594	88	286	23	6	268	68	-16	+0	-0	+4	+9	-0.2
2030	23	MLB MLE	COL	45%	460	425	98	14	3	7	28	106	4	9	4	231	284	329	613	98	287	23	6	276	73	-15	+0	+0	+5	+10	0.0
2031	24	MLB MLE	COL	48%	510	469	110	16	3	9	32	117	4	10	4	233	288	338	626	105	289	23	6	281	76	-14	+0	+1	+5	+11	0.3
2032	25	MLB MLE	COL	50%	569	523	123	18	3	11	36	130	5	12	5	235	290	344	634	109	289	23	6	285	79	-14	+0	+2	+6	+12	0.6
2033	26	MLB MLE	COL	50%	596	548	128	19	3	11	38	136	5	12	5	235	290	344	635	110	289	23	6	285	79	-15	+0	+2	+6	+13	0.6
2034	27	MLB MLE	COL	50%	594	546	127	19	3	11	38	136	5	12	5	234	289	342	631	108	288	23	6	283	78	-16	+0	+2	+6	+13	0.6
2035	28	MLB MLE	COL	50%	583	536	124	18	3	11	37	135	5	10	5	232	287	338	625	106	288	23	6	281	76	-17	+0	+1	+6	+13	0.3
2036	29	MLB MLE	COL	49%	566	521	119	17	3	10	36	133	4	9	5	230	285	332	616	102	286	23	6	277	74	-18	-0	+0	+6	+12	0.1
2037	30	MLB MLE	COL	48%	552	508	116	17	3	9	35	131	4	8	5	227	281	325	606	98	285	24	6	273	71	-19	-0	-1	+6	+12	-0.2
2028	21	MLB CTX	COL	25%	92	86	20	3	1	1	5	22	1	2	1	233	282	318	600	85	298	24	5	270	60	-4	+0	-0	+1	+2	-0.1
2029	22	MLB CTX	COL	38%	157	146	34	5	1	2	9	37	1	3	1	239	289	339	629	101	300	24	6	282	68	-6	+0	-0	+2	+3	-0.1
2030	23	MLB CTX	COL	45%	209	192	48	7	2	4	13	48	2	4	2	243	295	354	649	112	301	23	6	290	73	-7	+0	+0	+2	+5	0.0
2031	24	MLB CTX	COL	48%	245	226	56	8	2	5	15	56	2	5	2	246	299	365	664	119	303	23	6	296	76	-7	+0	+0	+3	+5	0.2
2032	25	MLB CTX	COL	50%	282	260	63	9	2	6	18	64	2	6	2	247	302	371	673	124	303	23	6	300	79	-7	+0	+1	+3	+6	0.3
2033	26	MLB CTX	COL	50%	301	276	68	10	2	7	19	69	3	6	3	247	302	371	673	125	303	23	6	300	79	-8	+0	+1	+3	+7	0.3
2034	27	MLB CTX	COL	50%	297	274	67	10	2	6	19	68	2	6	3	246	301	368	669	123	302	23	6	298	78	-8	+0	+1	+3	+6	0.3
2035	28	MLB CTX	COL	50%	290	267	64	9	2	6	19	67	2	5	3	244	298	364	662	120	301	23	7	296	76	-8	-0	+0	+3	+6	0.1
2036	29	MLB CTX	COL	49%	275	254	61	9	2	5	17	64	2	4	2	241	296	357	653	116	300	23	6	292	74	-9	+0	+0	+3	+6	0.0
2037	30	MLB CTX	COL	48%	263	243	58	8	2	5	16	62	2	4	3	238	292	349	641	110	298	24	6	287	71	-9	-0	-0	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2411	2224	539	78	18	47	150	557	19	45	22	242	296	357	653	115	302	23	6	293	70	-73	+0	+3	+26	+52	0.9
/ 162G	—	A+C		—	650	600	146	21	5	13	40	150	5	12	6	243	296	360	656	117	302	23	6	293	70	-20	+0	+1	+7	+14	0.2
Career	—	MLE		—	6289	5784	1328	186	34	91	384	1450	54	131	60	230	284	321	605	91	289	23	6	272	70	-173	+2	+5	+58	+117	1.0
/ 162G	—	MLE		—	650	598	137	19	4	9	40	150	6	14	6	229	285	319	604	90	289	23	6	272	70	-21	+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 AFresno Grizzlies · 361 PAwOBA .278 → .247 (−31)K% 19.9% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.94%	÷1.000	×1.360	—	—	27.12%
BB% (unintentional) /PA	7.20%	÷1.000	×0.690	—	×1.045	5.19%
HBP% /PA	0.83%	—	×0.780	—	×1.045	0.68%
Singles /BIP	24.31%	÷1.000	×0.920	×1.050	×1.045	24.54%
Doubles /BIP	3.92%	÷1.000	×0.830	×1.050	×1.045	3.57%
Triples /BIP	1.57%	÷1.000	×0.910	×1.050	×1.045	1.57%
Home runs /BIP	1.18%	÷1.000	×0.800	—	×1.045	0.98%

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 ×1.050.

Result: wOBA .278 → .247; ISO .083 → .071; BABIP .298 → .296. 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 ROKACL Rockies · 62 PAwOBA .283 → .237 (−46)K% 14.5% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.52%	÷1.000	×1.440	—	—	20.90%
BB% (unintentional) /PA	11.29%	÷1.000	×0.620	—	×1.008	7.05%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	26.83%	÷1.000	×0.820	×1.050	×1.008	23.27%
Doubles /BIP	4.88%	÷1.000	×0.720	×1.050	×1.008	3.72%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	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 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 ×1.050.

Result: wOBA .283 → .237; ISO .040 → .033; BABIP .302 → .258. 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 Rockies · 217 PAwOBA .318 → .261 (−57)K% 14.3% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.993	×1.440	—	—	20.72%
BB% (unintentional) /PA	6.91%	÷0.987	×0.620	—	×1.022	4.44%
HBP% /PA	0.92%	—	×0.720	—	×1.022	0.68%
Singles /BIP	33.75%	÷1.021	×0.820	×1.050	×1.022	29.10%
Doubles /BIP	4.38%	÷0.991	×0.720	×1.050	×1.022	3.41%
Triples /BIP	0.00%	÷1.150	×0.720	×1.050	×1.022	0.00%
Home runs /BIP	0.00%	÷0.970	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 104, 2B 98, 3B 130, K 99, BB 97 — 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 ×1.050.

Result: wOBA .318 → .261; ISO .037 → .029; BABIP .374 → .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).

2024 DSLDSL Colorado · 229 PAwOBA .330 → .234 (−96)K% 13.5% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.54%	÷1.054	×1.220	—	—	15.67%
BB% (unintentional) /PA	9.61%	÷0.998	×0.700	—	×1.022	6.89%
HBP% /PA	2.62%	—	×0.700	—	×1.022	1.88%
Singles /BIP	28.57%	÷1.014	×0.680	×1.049	×1.022	20.56%
Doubles /BIP	4.76%	÷1.186	×0.600	×1.049	×1.022	2.58%
Triples /BIP	1.19%	÷0.916	×0.600	×1.049	×1.022	0.84%
Home runs /BIP	0.00%	÷1.038	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 103, 2B 137, 3B 83, K 111, BB 100 — 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 ×1.049.

Result: wOBA .330 → .234; ISO .060 → .037; BABIP .341 → .237. 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
#1Ronny 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
#2Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#3Luis Rivera'86-'98 * career totals — 8 seasons, 2,453 PA	3.7	2,453	28	20	232*	291*	357*	+24	+5	1.2	2.3
/162	664	8	5	+6.4	+1.4	0.3	pk7: 3
#4Frank 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,621	43	49	231	282	331	+28	+8	1.6	1.9
/162	664	11	12	+7.1	+2.1	0.4	pk7: 2
#5Gary Disarcina'90-'00 * career totals — 10 seasons, 4,032 PA	6.1	4,032	28	47	248*	281*	338*	+43	+14	-1.3	1.0
/162	664	5	8	+7.1	+2.2	-0.2	pk7: 3
#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
Ashly Andujar (OGILVIE)	20	—	—	—	—	214/262/273	58	284	1	3	24%	5%	52	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Angelo Mora 2013 · A	20	41→51	34→45	50→45	39	194/231/251	57	258	1	14	25%	4%	34	-3.5	213/256/289	76	288	4	9	26%	5%	53	-2.1	259/294/363	103	333	5	4	23%	4%	81	-0.0
✕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
✕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
✕Walter Ibarra 2008 · A	20	42→52	35→40	46→50	45	200/263/259	60	269	3	8	26%	7%	50	-2.3	221/259/291	70	280	3	11	21%	4%	55	-2.0	257/290/353	96	324	5	12	21%	3%	79	-0.1
✕Jhoan Urena 2015 · A	20	44→48	36→45	51→45	41	209/251/277	69	278	3	8	26%	5%	49	-2.4	207/258/302	95	279	8	5	27%	6%	57	-1.8	216/275/335	120	297	12	5	30%	7%	69	-0.7
✕Michael Beltre 2015 · A	20	40→50	35→45	50→60	43	187/269/245	58	279	2	12	31%	8%	51	-2.3	200/263/276	76	291	4	11	30%	7%	54	-2.0	224/296/341	118	306	9	22	28%	9%	78	-0.2
✕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
✕Rey Navarro 2010 · A	20	45→51	35→45	49→50	38	211/248/279	68	289	2	10	27%	4%	48	-2.5	225/260/312	87	271	6	8	19%	4%	60	-1.6	242/276/357	115	268	11	5	14%	4%	74	-0.4
✕Sergio Alcántara 2016 · A	20	40→50	34→45	46→50	47	187/259/239	51	264	2	6	28%	8%	44	-2.8	231/279/291	60	299	2	8	22%	6%	62	-1.4	215/291/325	109	290	12	4	28%	9%	75	-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
✕Ivan Castillo 2015 · A	20	44→54	37→45	50	38	211/242/283	72	266	5	13	23%	3%	47	-2.6	215/254/294	79	270	3	15	21%	4%	53	-2.1	253/288/355	102	299	5	11	17%	4%	79	-0.1
✕Wilmer Difo 2011 · A	19	37→47	35→45	52→55	45	176/234/234	58	224	2	14	22%	6%	33	-3.6	205/271/276	71	256	3	20	20%	8%	57	-1.8	258/296/362	104	307	8	28	18%	4%	82	+0.0
✕Riley Unroe 2016 · A	20	44→47	36→45	44→55	44	209/267/272	63	286	4	8	27%	7%	54	-2.0	197/265/266	69	286	5	12	30%	8%	53	-2.1	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕Rafael Marchán 2019 · A	20	46	35→45	51→40	46	214/262/276	63	249	2	7	15%	5%	53	-2.1	212/267/270	58	261	2	4	18%	6%	53	-2.1	233/312/338	105	266	9	2	16%	9%	86	+0.1
✕Bengie González 2010 · A	20	45→55	34→40	47→50	44	209/269/255	46	290	1	10	27%	7%	51	-2.3	210/260/259	49	283	2	12	25%	6%	48	-2.5	252/303/348	96	305	4	12	18%	7%	82	+0.0
✕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
✕Juniel Querecuto 2012 · A	19	44→54	35→45	51→50	43	209/259/267	58	269	2	11	22%	5%	50	-2.3	224/270/278	54	299	1	8	24%	6%	56	-1.9	253/286/352	99	304	8	13	19%	4%	77	-0.3
✕Darwin Perez 2009 · A	20	44→53	36→40	54→50	46	203/275/276	73	292	3	10	29%	9%	59	-1.7	231/292/302	71	324	3	12	27%	8%	70	-0.8	238/302/305	67	328	3	14	26%	8%	72	-0.6
✕Elevys Gonzalez 2010 · A	20	43→53	36→45	48→45	40	207/245/268	62	269	4	9	24%	4%	45	-2.7	226/274/327	101	302	7	7	26%	6%	69	-0.9	221/273/327	106	299	7	6	27%	6%	67	-0.7
✕Miguel Gómez 2013 · A	20	39→49	37→50	48→40	43	188/248/260	72	247	3	6	24%	6%	45	-2.7	199/247/278	79	252	4	5	22%	5%	48	-2.5	272/289/402	130	307	13	1	16%	2%	89	+0.4

Ashly Andujar

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps