Angel Arredondo

3B Rancho Cucamonga Quakes

Age 20 R/R 6'0" / 190 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#327ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKTEX	107	.184/.415/.263	1	2	49	—	.131/.311/.190
2025	18	A/ROKTEX	183	.270/.400/.324	0	4	58	—	.218/.312/.256
2026	19	ALAA	468	.255/.375/.395	9	5	72	—	.207/.302/.314
2027PROJMLE	20	MLBLAA	557	.223/.314/.319	7	6	83	0.4
2028PROJ43% MLB	21	MLBLAA	184	.228/.319/.337	3	3	90	0.3
2029PROJ61% MLB	22	MLBLAA	289	.232/.323/.351	5	4	94	0.5

Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Whiff%84

K%80

Z-Con%72

Chase%71

wRC+67

BB%65

Career WAR0.0 WAR median (P10 -0.2 / P90 13, comp-based) · star 4% · didn't stick 77%

CompsNoah Mendlinger (age 21) · Sam McMillan (age 20) · Yeiner Fernandez (age 20)

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

wRC+†83

AVG/OBP/SLG.221 / .312 / .316

PA210

HR2

K%23

BB%10

ISO96

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$47M ctrl surplus

Tools · ContractCON 55 / POW 20

Toolsscout grade

CONTACT55

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2033	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2034	Pre-Arb	$1.0M	+1.1	$5M	+$5M
2035	Arb-1	$3M	+0.9	$2M	+$0.5M
2036	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$21M	+$16M

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	ACL Rangers	—	107	76	14	3	0	1	24	24	6	2	3	184	415	263	678	79	250	22	22	338	49	—	—	—	—	—	—
2025	18	A	Hickory Crawdads	—	23	22	1	0	0	0	1	11	0	0	0	45	87	45	132		91	48	4	70	-84	—	—	—	—	—	—
2025	18	ROK	ACL Rangers	—	160	126	39	6	1	0	25	24	6	4	2	310	446	373	819	63	375	15	16	376	78	—	—	—	—	—	—
2026	19	A	Rancho Cucamonga Quakes	—	468	392	100	22	3	9	66	85	9	5	2	255	375	395	770	140	305	18	14	351	72	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	ACL Rangers	—	107	84	11	2	0	1	16	35	6	2	3	131	311	190	502	60	197	33	15	240	49	—	—	—	—	—	—
2025	18	A MLE	Hickory Crawdads	—	23	22	1	0	0	0	1	15	0	0	0	45	87	45	132		87	65	4	44	-84	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	160	136	33	4	1	0	15	35	6	4	2	243	344	287	631	44	307	22	9	283	78	—	—	—	—	—	—
2026	19	A MLE	Rancho Cucamonga Quakes	—	468	411	85	17	3	7	47	116	9	5	2	207	302	314	616	107	267	25	10	275	72	—	—	—	—	—	—
2024	17	ROK MLE	ACL Rangers	—	107	84	11	2	0	1	16	35	6	2	3	131	311	190	502	60	204	33	15	240	49	—	—	—	—	—	—
2024	17	ROK RAW	ACL Rangers	—	107	76	14	3	0	1	24	24	6	2	3	184	415	263	678	79	250	22	22	338	49	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	183	158	33	4	1	0	16	50	6	4	2	209	306	247	552	38	300	27	9	253	57	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	183	148	40	6	1	0	26	35	6	4	2	270	400	324	724	54	348	19	14	337	57	—	—	—	—	—	—
2026	19	A MLE	Rancho Cucamonga Quakes	—	468	411	85	17	3	7	47	116	9	5	2	207	302	314	616	107	271	25	10	275	72	—	—	—	—	—	—
2026	19	A RAW	Rancho Cucamonga Quakes	—	468	392	100	22	3	9	66	85	9	5	2	255	375	395	770	140	305	18	14	351	72	—	—	—	—	—	—
2024	17	ROK MLE	ACL Rangers	—	107	84	11	2	0	1	16	35	6	2	3	131	311	190	502	60	197	33	15	240	49	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	183	159	33	4	1	0	16	50	6	4	2	208	306	245	551	38	279	27	9	253	57	—	—	—	—	—	—
2026	19	A MLE	Rancho Cucamonga Quakes	—	468	409	85	17	3	7	47	116	9	5	2	208	302	315	617	108	267	25	10	275	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	ACL Rangers	—	107	84	11	2	0	1	16	35	6	2	3	131	311	190	502	60	197	33	15	240	49	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	183	159	33	4	1	0	16	50	6	4	2	208	306	245	551	38	279	27	9	253	57	—	—	—	—	—	—
2026	19	A MLE	Rancho Cucamonga Quakes	—	468	409	85	17	3	7	47	116	9	5	2	208	302	315	617	108	267	25	10	275	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAA	0%	557	487	109	21	3	7	55	126	10	6	3	223	314	319	634	96	284	23	10	291	83	-11	+0	+0	+2	+12	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAA	43%	427	373	86	17	2	7	43	94	8	6	2	229	321	340	660	111	286	22	10	301	90	-5	+0	+0	+2	+9	0.6
2029	22	MLB MLE	LAA	61%	475	416	97	19	2	9	48	103	8	7	3	233	324	354	678	120	287	22	10	308	94	-3	+0	+0	+2	+10	0.9
2030	23	MLB MLE	LAA	68%	528	461	110	21	3	11	53	113	9	8	3	236	327	363	689	127	288	21	10	312	97	-2	+0	+0	+2	+11	1.2
2031	24	MLB MLE	LAA	70%	578	505	120	23	3	12	58	123	10	9	3	238	328	369	697	131	289	21	10	315	99	-1	+1	+0	+2	+13	1.5
2032	25	MLB MLE	LAA	70%	590	516	124	24	3	13	59	126	10	9	3	239	328	372	701	133	289	21	10	316	100	+0	+1	+0	+2	+13	1.6
2033	26	MLB MLE	LAA	71%	599	524	125	24	3	13	60	128	10	9	3	239	328	372	700	133	289	21	10	316	100	-0	+1	+0	+2	+13	1.6
2034	27	MLB MLE	LAA	69%	596	521	124	24	3	13	60	128	10	9	3	238	327	369	697	132	288	21	10	315	99	-1	+1	+0	+2	+13	1.5
2035	28	MLB MLE	LAA	69%	585	512	121	23	3	12	59	127	9	8	3	236	325	365	690	129	287	22	10	312	97	-2	+0	-1	+2	+13	1.3
2036	29	MLB MLE	LAA	67%	568	497	117	22	3	12	57	125	9	7	3	234	323	359	682	125	286	22	10	309	95	-3	+0	-1	+2	+12	1.0
2037	30	MLB MLE	LAA	66%	552	484	111	21	2	11	55	123	8	6	4	231	320	351	671	120	285	22	10	304	92	-5	-0	-2	+2	+12	0.6
2038	31	MLB MLE	LAA	65%	534	469	106	20	2	10	52	121	8	4	6	227	315	342	657	115	282	23	10	299	88	-7	-2	-3	+2	+12	0.2
2039	32	MLB MLE	LAA	70%	511	450	101	19	2	9	49	118	7	3	27	222	309	329	638	108	279	23	10	291	83	-10	-10	-4	+2	+11	-1.1
2028	21	MLB CTX	LAA	43%	184	161	37	7	1	3	18	41	3	3	1	228	319	337	656	110	283	22	10	300	90	-2	+0	+0	+1	+4	0.3
2029	22	MLB CTX	LAA	61%	289	253	58	11	1	5	29	63	5	4	2	232	323	351	675	120	284	22	10	306	94	-2	+0	+0	+1	+6	0.5
2030	23	MLB CTX	LAA	68%	360	315	74	14	2	7	36	77	6	6	2	235	325	361	686	126	285	21	10	311	97	-1	+0	+0	+1	+8	0.8
2031	24	MLB CTX	LAA	70%	402	352	83	15	2	9	40	86	7	6	2	237	327	367	694	130	286	21	10	313	99	-0	+0	+0	+1	+9	1.0
2032	25	MLB CTX	LAA	70%	414	363	86	16	2	9	41	88	7	7	2	238	327	370	697	133	286	21	10	315	100	+0	+1	+0	+1	+9	1.1
2033	26	MLB CTX	LAA	71%	423	371	88	16	2	10	42	90	7	7	2	237	327	370	697	133	286	21	10	315	100	-0	+1	+0	+2	+9	1.1
2034	27	MLB CTX	LAA	69%	413	362	85	16	2	9	41	89	7	6	2	236	326	367	694	131	286	22	10	313	99	-0	+0	+0	+1	+9	1.1
2035	28	MLB CTX	LAA	69%	402	353	83	15	2	9	40	87	6	5	2	235	324	363	687	128	285	22	10	311	97	-1	+0	-0	+1	+9	0.9
2036	29	MLB CTX	LAA	67%	380	333	77	14	2	8	38	83	6	4	2	232	322	357	678	124	284	22	10	307	95	-2	+0	-1	+1	+8	0.7
2037	30	MLB CTX	LAA	66%	363	318	73	13	2	7	36	81	6	4	3	230	318	349	668	120	283	22	10	303	92	-3	-0	-1	+1	+8	0.4
2038	31	MLB CTX	LAA	65%	348	306	68	13	1	6	34	79	5	3	4	226	314	340	653	114	280	23	10	297	88	-5	-1	-2	+1	+8	0.1
2039	32	MLB CTX	LAA	70%	360	317	70	13	1	6	35	83	5	2	19	220	308	327	635	107	277	23	10	290	83	-7	-7	-2	+1	+8	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4338	3804	882	163	20	88	430	947	70	57	43	232	321	355	676	123	284	22	10	308	92	-25	-6	-7	+15	+94	7.3
/ 162G	—	A+C		—	650	570	132	24	3	13	64	142	10	9	6	232	319	353	672	121	285	22	10	308	92	-4	-1	-1	+2	+14	1.1
Career	—	MLE		—	7511	6564	1511	288	36	142	753	1677	131	98	71	230	322	350	672	120	286	22	10	304	92	-44	-8	-10	+24	+146	11.0
/ 162G	—	MLE		—	650	568	130	25	3	12	65	145	11	8	6	229	319	347	666	118	285	22	10	304	92	-4	-1	-1	+2	+14	1.1

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 ARancho Cucamonga Quakes · 468 PAwOBA .342 → .275 (−68)K% 18.2% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.16%	÷1.000	×1.360	—	—	24.70%
BB% (unintentional) /PA	14.10%	÷1.000	×0.690	—	×1.030	10.02%
HBP% /PA	1.92%	—	×0.780	—	×1.030	1.55%
Singles /BIP	21.50%	÷1.000	×0.920	×0.950	×1.030	19.35%
Doubles /BIP	7.17%	÷1.000	×0.830	×0.950	×1.030	5.82%
Triples /BIP	0.98%	÷1.000	×0.910	×0.950	×1.030	0.87%
Home runs /BIP	2.93%	÷1.000	×0.800	—	×1.030	2.42%

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 ×0.950.

Result: wOBA .342 → .275; ISO .140 → .113; BABIP .305 → .267. 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 Rangers · 160 PAwOBA .372 → .283 (−89)K% 15.0% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷0.981	×1.440	—	—	22.03%
BB% (unintentional) /PA	15.62%	÷1.016	×0.620	—	×1.008	9.61%
HBP% /PA	3.75%	—	×0.720	—	×1.008	2.72%
Singles /BIP	31.37%	÷0.991	×0.820	×1.010	×1.008	26.42%
Doubles /BIP	5.88%	÷1.017	×0.720	×1.010	×1.008	4.24%
Triples /BIP	0.98%	÷1.138	×0.720	×1.010	×1.008	0.63%
Home runs /BIP	0.00%	÷1.302	×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): HR 160, 1B 98, 2B 103, 3B 128, K 96, BB 103 — 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 ×1.010.

Result: wOBA .372 → .283; ISO .063 → .046; BABIP .375 → .307. 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 AHickory Crawdads · 23 PAwOBA .068 → .044 (−24)K% 47.8% → 66.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.83%	÷0.981	×1.360	—	—	66.30%
BB% (unintentional) /PA	4.35%	÷1.051	×0.690	—	×1.045	2.98%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	9.09%	÷1.002	×0.920	—	×1.045	8.72%
Doubles /BIP	0.00%	÷1.123	×0.830	—	×1.045	0.00%
Triples /BIP	0.00%	÷1.039	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.037	×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 107, 1B 100, 2B 125, 3B 108, K 96, BB 110 — 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).

Result: wOBA .068 → .044; ISO .000 → .000; BABIP .091 → .087. 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 ROKACL Rangers · 107 PAwOBA .334 → .240 (−95)K% 22.4% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.43%	÷0.993	×1.440	—	—	32.53%
BB% (unintentional) /PA	22.43%	÷0.971	×0.620	—	×1.022	14.64%
HBP% /PA	5.61%	—	×0.720	—	×1.022	4.13%
Singles /BIP	19.23%	÷1.014	×0.820	×0.985	×1.022	15.65%
Doubles /BIP	5.77%	÷1.011	×0.720	×0.985	×1.022	4.14%
Triples /BIP	0.00%	÷1.150	×0.720	×0.985	×1.022	0.00%
Home runs /BIP	1.92%	÷1.040	×0.780	—	×1.022	1.48%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 103, 2B 102, 3B 130, K 99, 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 ×0.985.

Result: wOBA .334 → .240; ISO .079 → .059; BABIP .250 → .197. 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
#1Spike Owen'83-'95 * career totals — 13 seasons, 5,615 PA	8.5	5,615	46	82	242*	322*	356*	+55	+30	15.6	15.3
/162	664	5	10	+6.5	+3.6	1.8	pk7: 15
#2Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#3Greg Gagne'83-'97 * career totals — 13 seasons, 6,207 PA	9.3	6,207	111	108	249*	297*	394*	+65	+26	13.2	13.0
/162	664	12	12	+6.9	+2.8	1.4	pk7: 13
#4Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.8	4,548	90	59	234	320	358	+47	+27	13.9	12.2
/162	664	13	9	+6.9	+3.9	2.0	pk7: 11
#5Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#6Dick 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

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
Angel Arredondo (OGILVIE)	20	55	20	45	60	221/312/316	95	284	2	2	23%	10%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Noah Mendlinger 2022 · A	21	49→59	39→30	44→45	52	232/313/323	92	294	5	6	22%	10%	84	+0.1	246/336/323	77	297	4	8	17%	9%	93	+0.8	269/354/337	68	315	2	8	14%	8%	100	+1.0
✕Sam McMillan 2019 · A	20	48	41→30	47→45	49	228/316/330	102	281	8	6	21%	8%	88	+0.4	213/315/286	73	292	4	7	26%	10%	78	-0.3	207/330/269	62	273	4	7	22%	12%	77	-0.2
✕Yeiner Fernandez 2023 · A	20	52→53	41→40	43→45	46	251/312/352	101	307	9	4	21%	6%	90	+0.6	237/302/319	82	282	6	5	17%	7%	78	-0.3	233/299/299	66	274	4	5	16%	7%	71	-0.6
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Andy Paz 2013 · A	20	46	35→40	43→45	53	213/291/276	63	262	2	6	18%	9%	65	-1.2	190/251/259	69	263	5	5	27%	7%	45	-2.7	215/270/283	69	275	5	4	23%	7%	55	-0.5
✕Nacho Alvarez Jr. 2024 · A	21	51→54	40	50	50	241/318/332	91	306	7	13	22%	9%	88	+0.4	240/315/330	90	307	8	14	22%	8%	86	+0.3	238/317/323	85	303	7	15	22%	8%	83	+0.1
✕Yeison Santana 2021 · A	20	47	38→30	46→55	47	219/292/305	85	301	5	7	27%	8%	72	-0.7	211/278/272	61	315	3	14	31%	8%	59	-1.7	204/280/246	42	302	2	19	30%	8%	51	-0.9
✕Alejo Lopez 2016 · A	20	51→61	38→40	46→55	51	239/308/319	80	277	4	9	15%	7%	80	-0.1	229/282/302	73	267	4	10	15%	6%	66	-1.1	269/335/357	88	309	5	12	14%	8%	96	+0.8
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕Jasson Atondo 2016 · AAA	20	51→61	39→30	48→50	46	245/284/338	94	284	6	9	16%	5%	75	-0.5	227/269/314	87	267	6	11	17%	5%	64	-1.3	292/321/350	57	324	3	12	11%	4%	87	+0.2
✕Luis Caicuto 2023 · A	20	51	38→45	46→50	46	241/301/323	82	302	5	7	21%	6%	78	-0.3	211/281/274	63	283	2	5	24%	7%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Victor Rodrigues 2024 · A	19	42	37→30	47→50	51	198/275/273	75	246	5	10	21%	9%	58	-1.7	215/298/280	65	272	5	7	21%	10%	69	-0.9	213/306/263	50	270	4	5	20%	11%	66	-0.5
✕Luis Santana 2019 · A	20	52	39→45	50	52	244/318/335	91	274	6	10	13%	7%	88	+0.5	225/293/315	90	280	7	8	21%	7%	74	-0.5	214/269/345	131	274	15	8	27%	5%	69	-0.5
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	227/308/323	96	307	7	7	26%	9%	82	+0.0	224/297/299	75	308	5	6	26%	8%	72	-0.7	277/345/359	82	319	4	2	13%	7%	103	+0.5
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
✕Josh Morgan 2016 · A	20	54→57	36→45	46→40	49	253/324/318	65	307	4	7	18%	7%	86	+0.3	245/297/325	80	293	6	4	18%	6%	77	-0.3	240/288/318	78	285	6	2	17%	5%	70	-0.6
✕Jacob Amaya 2019 · A	20	49→47	39→45	48→45	52	232/310/319	87	306	7	11	25%	10%	82	-0.0	216/290/316	100	284	8	6	25%	9%	74	-0.6	218/291/330	112	279	11	6	25%	9%	75	-0.4
●Angel Genao 2024 · A	20	47→57	39→45	48→50	48	224/290/313	89	292	6	9	24%	8%	73	-0.6	262/314/381	119	324	9	12	21%	7%	97	+1.1	271/329/396	125	328	10	12	19%	8%	104	+1.3

Angel Arredondo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps