Angel Guzman

SS FCL Blue Jays

Age 20 S/R 5'11" / 160 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1064ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKTOR	183	.262/.352/.344	0	2	37	—	.180/.247/.228
2025	18	ROKDSL Blue Jays…	182	.230/.363/.365	3	9	35	—	.140/.246/.217
2026	19	ROKTOR	245	.284/.394/.461	7	13	77	—	.212/.290/.327
2027PROJMLE	20	MLBTOR	355	.211/.282/.309	5	6	68	0.0
2028PROJ34% MLB	21	MLBTOR	61	.217/.289/.325	1	1	74	0.0
2029PROJ48% MLB	22	MLBTOR	138	.220/.293/.336	2	3	78	0.1

Next 3 projected WAR 0.1Projected 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

ISO76

Whiff%75

wRC+71

K%69

Speed69

Z-Con%66

Career WAR0.0 WAR median (P10 0.0 / P90 0.1, comp-based) · star 0% · didn't stick 92%

CompsDayan Frias (age 20) · Kelvin Alarcon (age 20) · Derwin Barreto (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 133 proj PA

wRC+†68

AVG/OBP/SLG.209 / .280 / .307

PA133

HR2

K%25

BB%8

ISO98

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED50

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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 Blue Jays	—	183	160	42	9	2	0	22	30	0	2	2	263	352	344	695	81	321	16	12	318	37	—	—	—	—	—	—
2025	18	ROK	DSL Blue Jays Blue	—	182	148	34	7	2	3	30	26	1	9	2	230	363	365	728	135	254	14	16	330	35	—	—	—	—	—	—
2026	19	ROK	FCL Blue Jays	—	245	204	58	11	2	7	33	43	4	13	4	284	394	461	855	176	323	18	13	377	77	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Blue Jays	—	183	167	30	6	1	0	15	38	0	2	2	180	247	228	475	48	234	21	8	223	37	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	182	157	22	4	1	2	21	33	1	9	2	140	246	217	462	76	160	18	12	220	35	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	245	217	46	8	1	5	20	62	4	13	4	212	290	327	618	115	265	25	8	282	77	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	183	167	30	6	1	0	15	38	0	2	2	180	247	228	475	48	231	21	8	223	37	—	—	—	—	—	—
2024	17	ROK RAW	DSL Blue Jays	—	183	160	42	9	2	0	22	30	0	2	2	263	352	344	695	81	321	16	12	318	37	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	182	157	22	4	1	2	21	33	1	9	2	140	246	217	462	76	160	18	12	220	35	—	—	—	—	—	—
2025	18	ROK RAW	DSL Blue Jays Blue	—	182	148	34	7	2	3	30	26	1	9	2	230	363	365	728	135	254	14	16	330	35	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	245	217	46	8	1	5	20	62	4	13	4	212	290	327	618	115	266	25	8	282	77	—	—	—	—	—	—
2026	19	ROK RAW	FCL Blue Jays	—	245	204	58	11	2	7	33	43	4	13	4	284	394	461	855	176	323	18	13	377	77	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	183	166	30	6	1	0	15	38	0	2	2	181	247	229	476	48	234	21	8	223	37	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	182	158	22	4	1	2	21	33	1	9	2	139	246	215	461	76	160	18	12	220	35	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	245	219	46	8	1	5	20	62	4	13	4	210	290	324	615	114	265	25	8	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Blue Jays	—	183	166	30	6	1	0	15	38	0	2	2	181	247	229	476	48	234	21	8	223	37	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	182	158	22	4	1	2	21	33	1	9	2	139	246	215	461	76	160	18	12	220	35	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	245	219	46	8	1	5	20	62	4	13	4	210	290	324	615	114	265	25	8	282	77	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TOR	0%	355	320	68	13	2	5	29	87	3	6	2	211	282	309	592	98	272	25	8	269	68	-13	+0	+0	+4	+8	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TOR	34%	178	159	34	6	1	3	15	43	2	3	1	216	288	324	612	108	274	24	8	277	74	-6	+0	+0	+2	+4	0.0
2029	22	MLB MLE	TOR	48%	284	256	56	10	2	5	23	68	3	5	2	219	292	334	626	115	276	24	8	283	78	-8	+0	+0	+3	+6	0.2
2030	23	MLB MLE	TOR	54%	370	332	74	14	2	7	31	88	4	7	2	222	295	342	637	120	278	24	8	287	81	-9	+1	+0	+4	+8	0.4
2031	24	MLB MLE	TOR	55%	427	384	87	16	3	9	36	101	4	8	3	224	297	348	645	123	279	24	8	290	83	-9	+0	+0	+5	+9	0.6
2032	25	MLB MLE	TOR	56%	458	412	93	17	3	10	38	108	5	9	3	226	299	351	650	126	280	24	8	292	84	-9	+1	+0	+5	+10	0.7
2033	26	MLB MLE	TOR	56%	474	426	96	18	3	10	40	112	5	9	3	225	299	351	650	126	280	24	8	292	84	-9	+1	+0	+5	+10	0.7
2034	27	MLB MLE	TOR	55%	479	431	97	18	3	10	40	113	5	9	3	224	298	349	646	124	279	24	8	291	83	-10	+1	+0	+5	+10	0.7
2035	28	MLB MLE	TOR	55%	476	429	95	18	3	9	40	114	4	8	3	223	296	344	640	121	278	24	8	288	81	-11	+0	-1	+5	+10	0.5
2036	29	MLB MLE	TOR	53%	467	421	93	17	3	9	39	113	4	7	3	220	293	338	631	118	277	24	8	285	79	-12	+0	-1	+5	+10	0.2
2037	30	MLB MLE	TOR	53%	456	411	89	16	3	8	38	112	4	6	3	218	290	331	621	113	276	25	8	281	76	-13	+0	-2	+5	+10	-0.0
2028	21	MLB CTX	TOR	34%	61	55	11	2	0	1	5	15	1	1	0	217	289	325	614	109	276	25	8	278	74	-2	+0	+0	+1	+1	0.0
2029	22	MLB CTX	TOR	48%	138	125	27	5	1	2	11	33	1	3	1	220	293	336	629	116	277	24	8	284	78	-4	+0	+0	+1	+3	0.1
2030	23	MLB CTX	TOR	54%	201	180	40	7	1	4	17	48	2	4	1	223	296	344	639	120	279	24	8	288	81	-5	+0	+0	+2	+4	0.2
2031	24	MLB CTX	TOR	55%	237	213	49	9	2	5	20	56	2	5	1	225	298	349	647	124	280	24	8	291	83	-5	+1	+0	+3	+5	0.3
2032	25	MLB CTX	TOR	56%	256	230	52	10	2	5	21	60	3	5	2	227	300	353	652	126	281	23	8	293	84	-5	+0	+0	+3	+6	0.4
2033	26	MLB CTX	TOR	56%	267	240	55	10	2	6	22	63	3	5	2	226	299	352	652	126	281	24	8	293	84	-5	+0	+0	+3	+6	0.4
2034	27	MLB CTX	TOR	55%	265	238	54	10	2	5	22	63	3	5	2	225	298	350	648	125	280	24	8	292	83	-5	+0	+0	+3	+6	0.3
2035	28	MLB CTX	TOR	55%	261	235	53	10	2	5	22	62	2	4	2	224	297	345	642	122	280	24	8	289	81	-6	+0	-0	+3	+6	0.2
2036	29	MLB CTX	TOR	53%	249	224	50	9	2	5	21	60	2	4	2	221	294	340	633	118	278	24	8	286	79	-6	+0	-1	+3	+5	0.1
2037	30	MLB CTX	TOR	53%	240	216	47	9	1	4	20	59	2	3	2	219	290	332	623	114	277	25	8	281	76	-7	-0	-1	+3	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2175	1956	438	81	15	42	181	519	21	39	15	224	297	345	642	121	282	24	8	289	77	-49	+2	-2	+23	+47	2.1
/ 162G	—	A+C		—	650	585	131	24	4	13	54	155	6	12	4	224	296	345	641	121	281	24	8	289	77	-15	+1	-1	+7	+14	0.6
Career	—	MLE		—	4812	4322	938	173	30	89	407	1138	46	97	35	217	291	333	624	116	272	24	8	282	77	-98	+4	-4	+45	+91	3.8
/ 162G	—	MLE		—	650	584	126	23	4	12	55	154	6	13	5	216	290	330	620	115	270	24	8	282	77	-15	+1	-1	+7	+14	0.6

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 ROKFCL Blue Jays · 245 PAwOBA .373 → .282 (−91)K% 17.6% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.55%	÷1.000	×1.440	—	—	25.27%
BB% (unintentional) /PA	13.47%	÷1.000	×0.620	—	×0.995	8.31%
HBP% /PA	1.63%	—	×0.720	—	×0.995	1.17%
Singles /BIP	23.60%	÷1.000	×0.820	×1.050	×0.995	20.22%
Doubles /BIP	6.83%	÷1.000	×0.720	×1.050	×0.995	5.14%
Triples /BIP	1.24%	÷1.000	×0.720	×1.050	×0.995	0.93%
Home runs /BIP	4.35%	÷1.000	×0.780	—	×0.995	3.37%

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 20 vs a level average of 19.5 → −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 .373 → .282; ISO .176 → .134; BABIP .323 → .265. 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 Blue Jays Blue · 182 PAwOBA .328 → .220 (−108)K% 14.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.968	×1.220	—	—	18.01%
BB% (unintentional) /PA	16.48%	÷0.988	×0.700	—	×0.995	11.62%
HBP% /PA	0.55%	—	×0.700	—	×0.995	0.38%
Singles /BIP	18.03%	÷1.086	×0.680	×1.031	×0.995	11.59%
Doubles /BIP	5.74%	÷1.023	×0.600	×1.031	×0.995	3.45%
Triples /BIP	1.64%	÷0.900	×0.600	×1.031	×0.995	1.12%
Home runs /BIP	2.46%	÷0.836	×0.470	—	×0.995	1.38%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 117, 2B 105, 3B 80, K 94, BB 98 — 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 ×1.031.

Result: wOBA .328 → .220; ISO .135 → .085; BABIP .254 → .160. 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 Blue Jays · 183 PAwOBA .312 → .223 (−89)K% 16.4% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.39%	÷0.973	×1.220	—	—	20.56%
BB% (unintentional) /PA	12.02%	÷1.015	×0.700	—	×1.008	8.35%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	23.85%	÷0.958	×0.680	×1.050	×1.008	17.90%
Doubles /BIP	6.92%	÷0.964	×0.600	×1.050	×1.008	4.56%
Triples /BIP	1.54%	÷0.900	×0.600	×1.050	×1.008	1.09%
Home runs /BIP	0.00%	÷0.892	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 92, 2B 93, 3B 80, K 95, BB 103 — 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 ×1.050.

Result: wOBA .312 → .223; ISO .081 → .055; BABIP .321 → .234. 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
#1Dick 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
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Gordon 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
#4Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#5Gene 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
#6Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.5	2,307	44	40	223	292	343	+25	+18	3.7	3.5
/162	664	13	12	+7.1	+5.2	1.1	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
Angel Guzman (OGILVIE)	20	40	30	50	60	209/280/307	97	272	2	2	25%	8%	68	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dayan Frias 2022 · A	20	44→43	39→40	48→55	48	210/286/301	91	288	5	7	27%	9%	69	-0.9	209/284/301	92	305	7	6	31%	9%	68	-1.0	201/280/292	91	289	8	6	31%	9%	62	-1.1
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	54	197/295/255	58	274	3	8	26%	11%	63	-1.4	211/273/274	63	328	3	8	33%	7%	57	-1.8	202/264/238	35	318	0	8	34%	8%	43	-0.6
✕Derwin Barreto 2021 · A	20	42	40→30	51→50	48	200/277/293	93	268	7	10	26%	9%	63	-1.3	197/277/284	87	305	7	9	34%	9%	61	-1.5	149/242/195	47	258	4	9	40%	10%	27	-0.8
✕Jose Perez 2024 · A	20	39	38→40	45	60	185/303/270	86	239	4	7	22%	13%	70	-0.9	192/299/267	75	259	4	6	24%	12%	67	-1.1	184/302/248	64	242	3	5	22%	13%	61	-0.6
✕Arquímedes Gamboa 2018 · A	20	44	41→40	54→50	44	216/264/315	100	269	9	9	23%	6%	63	-1.4	192/263/263	71	282	4	11	30%	9%	51	-2.2	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕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
✕Maick Collado 2023 · A	20	43	38→40	46→45	52	204/289/283	78	260	5	5	22%	10%	66	-1.1	216/290/287	71	272	5	6	20%	9%	67	-1.1	210/282/273	63	258	5	5	19%	9%	61	-0.8
✕Jeremy Arocho 2018 · A	19	43→44	38→30	53→60	41	204/261/287	83	286	4	12	29%	6%	55	-1.9	223/282/290	67	291	2	11	22%	7%	64	-1.3	230/324/274	45	312	0	26	23%	11%	74	-0.3
✕Herard Gonzalez 2021 · A	20	45→43	37→40	47→50	48	213/288/283	70	293	6	10	27%	9%	65	-1.2	199/278/288	89	323	6	10	36%	9%	63	-1.4	188/268/272	84	294	6	10	35%	9%	54	-1.4
✕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
✕Jenner Emeterio 2013 · A	20	42	37→30	48→60	49	198/268/270	72	254	4	13	22%	8%	55	-2.0	197/293/251	54	252	2	24	20%	11%	61	-1.5	183/298/219	36	231	1	34	18%	13%	54	-0.8
✕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
✕Jesus Hernandez 2024 · A	20	42	37→40	51→55	53	199/281/271	72	257	5	13	23%	10%	60	-1.6	199/278/287	88	284	6	18	29%	9%	63	-1.4	199/280/289	90	282	6	24	29%	9%	62	-0.7
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Victor Acosta 2024 · A	20	43→45	38→40	51→50	44	202/287/286	84	286	4	11	28%	8%	66	-1.1	197/279/276	79	278	4	12	28%	7%	61	-1.5	188/274/265	77	265	4	13	28%	7%	55	-1.1
✕Johnny Ascanio 2024 · A	21	45	39→40	48→45	44	215/277/303	88	293	6	9	27%	7%	65	-1.2	210/284/284	74	275	6	8	24%	8%	64	-1.3	209/293/268	60	273	4	7	23%	9%	62	-0.8
✕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
✕Alberto Hernandez 2024 · A	20	41	38→30	48→55	48	195/267/282	88	248	5	12	23%	8%	57	-1.8	191/253/261	70	261	4	11	26%	7%	47	-2.6	180/240/244	65	243	4	12	26%	7%	37	-1.4
✕Milkar Perez 2021 · A	19	40	37→40	45→40	48	193/268/266	72	257	5	8	25%	8%	54	-2.0	202/294/259	57	308	2	4	31%	11%	63	-1.4	211/289/291	80	310	4	2	30%	9%	66	-0.7

Angel Guzman

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps