Randy Guzman

OF St. Lucie Mets

Age 22 R/R 6'4" / 215 lbs A H -5% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTFG #595MiLBFA 2035

Scout OFP43ETA2028FG ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ANYM	105	.333/.385/.604	3	2	135	—	.309/.356/.567
2025	20	ROKNYM	178	.282/.371/.474	7	0	67	—	.204/.275/.352
2026	21	A+NYM	32	.393/.452/.536	1	0	131	—	.345/.387/.483
2026	21	ANYM	247	.274/.381/.514	12	5	91	—	.222/.311/.403
2027PROJ0% MLB	22	MLBNYM	404	.237/.297/.404	13	6	96	0.4
2028PROJ43% MLB	23	MLBNYM	142	.235/.296/.409	5	2	101	0.2
2029PROJ58% MLB	24	MLBNYM	233	.238/.300/.419	9	4	105	0.5

Next 3 projected WAR 1.1Projected 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$3M2033Arb-2$4M2034Arb-3$5M

Skills · percentileMiLB Statcast 2026 A

Max EV99

Speed75

BB%41

K%37

Z-Con%29

Whiff%22

Career WAR0 WAR median (P10 -0 / P90 13, comp-based) · star 4% · didn't stick 85%

CompsAllan Cerda (age 22) · Mark Vientos (age 22) · Tom Murphy (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 285 proj PA

wRC+†96

AVG/OBP/SLG.235 / .295 / .400

PA285

HR9

SB5

K%29

BB%6

ISO167

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$19M ctrl surplus

Tools · ContractCON 33 / POW 61

Toolsscout grade

CONTACT33

scouting grade only

POWER61

scouting grade only

EYE30

scouting grade only

SPEED34

scouting grade only

DEFENSE45

scouting grade only

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	+0.5	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Arb-1	$3M	+0.8	$2M	+$0.4M
2033	Arb-2	$4M	+0.7	$2M	+$0.0M (cut)
2034	Arb-3	$5M	+0.5	$1M	+$0.0M (cut)
Totals		$6M		$11M	+$5M

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 = actual YTD + projected ROS + total. 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)
2023	18	ROK	DSL Mets Orange	—	177	143	25	8	0	3	30	59	4	0	0	175	333	294	627	119	272	33	17	300	7	—	—	—	—	—	—
2024	19	ROK	DSL Mets Blue	—	76	67	14	4	1	2	9	25	0	1	2	209	303	388	691	179	300	33	12	310	4	—	—	—	—	—	—
2025	20	A	St. Lucie Mets	—	105	96	32	13	2	3	6	21	2	2	3	333	385	604	989	271	397	20	6	424	135	—	—	—	—	—	—
2025	20	ROK	FCL Mets	—	178	156	44	9	0	7	15	33	7	0	3	282	371	474	845	192	319	19	8	377	67	—	—	—	—	—	—
2026	21	A+	Brooklyn Cyclones	—	32	28	11	1	0	1	2	7	1	0	0	393	452	536	987	143	476	22	6	426	131	—	—	—	—	—	—
2026	21	A	St. Lucie Mets	—	247	208	57	10	2	12	28	66	8	5	1	274	381	514	896	240	338	27	11	390	91	—	—	—	—	—	—
2026	21	ROK	FCL Mets	—	15	14	2	1	0	0	0	9	1	0	1	143	200	214	414	71	400	60	0	195	-72	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Mets Orange	—	177	153	14	4	0	1	20	74	4	0	0	92	215	137	352	46	167	42	11	179	7	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	76	70	8	2	1	1	6	32	0	1	2	114	184	214	398	100	186	42	8	174	4	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	105	97	30	12	2	3	5	27	2	2	3	309	356	567	923	258	373	26	5	367	135	—	—	—	—	—	—
2025	20	ROK MLE	FCL Mets	—	178	162	33	6	0	6	9	47	7	0	3	204	275	352	627	148	247	26	5	267	67	—	—	—	—	—	—
2026	21	A+ MLE	Brooklyn Cyclones	—	32	29	10	1	0	1	1	9	1	0	0	345	387	483	870	138	419	28	3	362	131	—	—	—	—	—	—
2026	21	A MLE	St. Lucie Mets	—	247	216	48	8	2	9	20	90	8	5	1	222	311	403	714	181	304	36	8	302	91	—	—	—	—	—	—
2026	21	ROK MLE	FCL Mets	—	15	14	0	0	0	0	0	13	1	0	1		67		67		303	87	0	62	-72	—	—	—	—	—	—
2023	18	ROK MLE	DSL Mets Orange	—	177	153	14	4	0	1	20	74	4	0	0	92	215	137	352	46	167	42	11	179	7	—	—	—	—	—	—
2023	18	ROK RAW	DSL Mets Orange	—	177	143	25	8	0	3	30	59	4	0	0	175	333	294	627	119	272	33	17	300	7	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	76	70	8	2	1	1	6	32	0	1	2	114	184	214	398	100	189	42	8	174	4	—	—	—	—	—	—
2024	19	ROK RAW	DSL Mets Blue	—	76	67	14	4	1	2	9	25	0	1	2	209	303	388	691	179	300	33	12	310	4	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	283	259	62	18	2	8	14	74	9	2	6	239	301	417	718	178	303	26	5	304	92	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	283	252	76	22	2	10	21	54	9	2	6	302	376	524	900	222	349	19	7	394	92	—	—	—	—	—	—
2026	21	A MLE	3 teams	—	294	259	58	9	2	10	21	112	10	5	2	224	307	390	697	166	340	38	7	296	87	—	—	—	—	—	—
2026	21	A RAW	3 teams	—	294	250	70	12	2	13	30	82	10	5	2	280	379	500	879	220	358	28	10	384	87	—	—	—	—	—	—
2023	18	ROK MLE	DSL Mets Orange	—	177	151	14	4	0	1	20	74	4	0	0	93	215	139	354	46	167	42	11	179	7	—	—	—	—	—	—
2024	19	ROK MLE	DSL Mets Blue	—	76	70	8	2	1	1	6	32	0	1	2	114	184	214	398	100	186	42	8	174	4	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	283	258	62	18	2	8	14	74	9	2	6	240	301	419	720	178	294	26	5	304	92	—	—	—	—	—	—
2026	21	A MLE	3 teams	—	294	261	58	9	2	10	21	112	10	5	2	222	307	387	694	165	316	38	7	296	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Mets Blue	—	76	70	8	2	1	1	6	32	0	1	2	114	184	214	398	100	186	42	8	174	4	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	283	258	62	18	2	8	14	74	9	2	6	240	301	419	720	178	294	26	5	304	92	—	—	—	—	—	—
2026	21	A MLE	3 teams	—	294	261	58	9	2	10	21	112	10	5	2	222	307	387	694	165	316	38	7	296	87	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYM	0%	404	369	87	17	2	13	25	118	7	6	2	237	297	404	701	167	307	29	6	310	96	-2	+0	-2	-2	+9	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYM	43%	329	299	73	14	2	12	21	94	6	5	2	241	303	419	721	177	307	29	6	318	101	+1	+0	-1	-2	+7	0.5
2029	24	MLB MLE	NYM	58%	403	367	89	17	2	15	26	113	7	7	2	244	306	429	735	184	308	28	6	324	105	+2	+1	-1	-2	+9	0.8
2030	25	MLB MLE	NYM	65%	444	405	100	19	2	18	29	123	7	7	2	246	309	435	743	189	307	28	7	327	107	+4	+1	-1	-3	+10	1.1
2031	26	MLB MLE	NYM	68%	469	427	105	20	2	19	31	129	8	7	2	247	310	438	748	191	306	28	7	329	109	+5	+1	-1	-3	+10	1.2
2032	27	MLB MLE	NYM	68%	479	435	106	20	2	19	33	131	8	7	2	246	310	434	743	188	305	27	7	327	107	+4	+1	-1	-3	+10	1.2
2033	28	MLB MLE	NYM	68%	480	437	106	20	2	19	33	133	7	5	2	244	308	429	736	185	304	28	7	324	106	+3	+0	-1	-3	+10	1.0
2034	29	MLB MLE	NYM	66%	474	432	104	20	2	18	32	132	7	4	2	241	305	422	727	181	302	28	7	321	103	+2	+0	-2	-3	+10	0.7
2035	30	MLB MLE	NYM	66%	466	425	101	19	2	17	31	132	7	2	1	238	301	415	715	176	300	28	7	316	100	-0	+0	-3	-3	+10	0.4
2036	31	MLB MLE	NYM	65%	454	415	97	18	2	16	30	130	6	2	1	234	296	405	701	171	297	29	7	310	96	-2	+0	-4	-3	+10	0.1
2037	32	MLB MLE	NYM	65%	436	399	92	17	2	15	28	127	6	1	1	229	290	392	681	163	293	29	6	302	90	-5	-0	-4	-3	+9	-0.3
2028	23	MLB CTX	NYM	43%	142	130	31	6	1	5	9	41	2	2	1	235	296	409	705	174	297	29	6	311	101	+0	+0	-1	-1	+3	0.2
2029	24	MLB CTX	NYM	58%	233	212	50	9	1	9	15	66	4	4	1	238	300	419	719	181	298	28	6	317	105	+1	+0	-1	-1	+5	0.5
2030	25	MLB CTX	NYM	65%	288	262	61	11	1	11	19	80	5	5	1	239	303	424	727	185	297	28	7	320	107	+3	+1	-0	-2	+6	0.7
2031	26	MLB CTX	NYM	68%	319	290	71	13	2	13	21	88	5	5	2	240	304	427	731	187	296	28	7	322	109	+3	+0	-1	-2	+7	0.8
2032	27	MLB CTX	NYM	68%	326	296	71	13	2	13	22	89	5	5	2	239	303	423	727	184	295	27	7	320	107	+3	+0	-1	-2	+7	0.8
2033	28	MLB CTX	NYM	68%	326	296	71	13	2	13	22	90	5	4	1	237	301	419	720	182	294	28	7	318	106	+2	+0	-1	-2	+7	0.7
2034	29	MLB CTX	NYM	66%	315	286	67	12	1	12	21	88	5	2	1	235	299	412	711	178	292	28	7	314	103	+1	+0	-1	-2	+7	0.5
2035	30	MLB CTX	NYM	66%	305	278	64	12	1	11	20	86	4	1	1	232	295	405	700	173	290	28	7	309	100	-0	-0	-2	-2	+7	0.3
2036	31	MLB CTX	NYM	65%	295	270	61	11	1	11	19	84	4	1	1	228	290	395	685	167	287	28	6	303	96	-1	-0	-2	-2	+6	0.1
2037	32	MLB CTX	NYM	65%	282	258	57	10	1	10	18	82	4	1	0	222	284	382	666	160	283	29	6	296	90	-3	+0	-3	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2831	2578	604	110	13	108	186	794	43	30	11	234	297	413	709	178	293	28	7	313	96	+9	+2	-12	-17	+61	4.4
/ 162G	—	A+C		—	650	592	139	25	3	25	43	182	10	7	3	235	298	414	712	179	294	28	7	313	96	+2	+0	-3	-4	+14	1.0
Career	—	MLE		—	5549	5043	1177	229	27	197	372	1619	97	60	28	233	299	407	705	173	301	29	7	311	96	+12	+3	-20	-28	+102	7.1
/ 162G	—	MLE		—	650	591	138	27	3	23	44	190	11	7	3	234	299	406	705	173	302	29	7	311	96	+2	+0	-3	-4	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#2Leroy Stanton'70-'78 * career totals — 7 seasons, 2,883 PA	4.3	2,883	77	36	245*	314*	430*	-33	-1	6.5	7.8
/162	664	18	8	-7.7	-0.2	1.5	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.7	3,117	117	34	242	301	422	-19	-13	7.6	6.9
/162	664	25	7	-4.0	-2.7	1.6	pk7: 6
#3Scott Hairstonlast yr '14 career totals — 9 seasons, 2,624 PA	4.0	2,624	106	36	242	297	444	-18	-16	6.0	6.6
/162	664	27	9	-4.5	-4.1	1.5	pk7: 7
#4Rip Repulski'53-'61 * career totals — 8 seasons, 3,378 PA	5.1	3,378	106	25	259*	309*	436*	-26	-7	6.1	6.3
/162	664	21	5	-5.1	-1.4	1.2	pk7: 6
#5Cory Snyder'86-'94 * career totals — 9 seasons, 3,933 PA	5.9	3,933	149	28	243*	290*	445*	-35	-18	4.7	5.7
/162	664	25	5	-5.9	-3.0	0.8	pk7: 7
#6Franmil Reyeslast yr '23 career totals — 6 seasons, 2,078 PA	3.1	2,078	108	6	249	310	464	-22	-18	5.5	5.5
/162	664	35	2	-7.1	-5.7	1.8	pk7: 6

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
Randy Guzman (OGILVIE)	22	30→33	45→61	40→34	30	235/295/400	165	307	9	5	29%	6%	96	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Allan Cerda 2022 · A	22	40→25	53→55	39→45	40	204/285/385	180	305	20	5	38%	8%	88	+0.5	177/277/336	159	278	19	7	40%	10%	75	-0.5	147/260/300	153	223	20	7	41%	11%	58	-0.9
●Mark Vientos 2022 · AAA	22	43→51	56→60	38→30	37	228/276/415	187	306	25	3	34%	6%	92	+0.7	246/303/435	189	333	25	2	32%	7%	107	+1.8	247/307/448	201	309	26	1	28%	7%	110	+1.8
●Tom Murphy 2014 · AA	23	42→38	50→65	42→45	39	211/276/367	156	300	17	5	34%	6%	81	-0.1	212/267/380	168	296	20	5	34%	6%	80	-0.1	247/319/462	214	314	30	2	30%	9%	119	+1.2
✕Max Stassi 2013 · A	22	43→45	48→55	44→40	40	219/279/357	139	300	16	5	32%	6%	79	-0.2	222/269/363	141	295	16	3	30%	5%	76	-0.4	216/302/377	161	281	21	0	29%	10%	94	+0.4
●Ryan Lavarnway 2010 · A	22	44→46	53→55	43→30	41	226/285/402	176	308	20	3	32%	7%	92	+0.7	236/302/401	165	298	20	2	27%	8%	98	+1.2	235/303/390	155	288	20	1	25%	8%	95	+0.8
✕Johan Mieses 2017 · A	22	36→33	53→55	44→50	36	199/248/370	171	271	21	8	35%	5%	71	-0.8	186/238/339	153	256	20	4	35%	5%	60	-1.6	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Matt Davidson 2013 · AA	22	44→45	49→60	38→30	44	223/293/375	152	294	17	2	29%	7%	88	+0.5	200/267/335	135	287	15	2	34%	7%	70	-0.8	222/289/413	191	300	26	0	34%	7%	97	+0.8
✕Joey Bart 2020 · AA	23	43	53→55	45→40	38	228/270/395	166	287	21	7	29%	5%	84	+0.2	235/289/374	139	337	16	5	33%	6%	86	+0.3	251/343/392	142	332	17	1	27%	10%	112	+1.0
✕Bryan Ramos 2024 · AA	22	42	50	44→50	43	221/284/370	149	272	19	5	27%	7%	84	+0.2	204/271/322	118	262	13	10	27%	7%	69	-0.9	190/263/293	103	246	11	12	27%	7%	56	-1.3
●Heriberto Hernández 2022 · A	22	44→48	48→60	45→50	42	212/294/358	146	333	16	7	38%	9%	85	+0.2	206/284/363	157	311	19	6	37%	9%	83	+0.1	222/305/421	199	281	26	11	30%	10%	104	+1.3
●Andy Pages 2023 · AA	22	39→49	56→60	45→50	45	211/297/402	191	273	24	6	31%	9%	97	+1.1	243/312/420	177	306	20	9	26%	7%	106	+1.8	269/326/453	184	315	23	10	22%	6%	121	+2.8
✕Victor Bericoto 2024 · AA	22	44→49	50	41→40	42	226/280/376	150	296	19	3	30%	7%	84	+0.1	235/281/359	124	312	14	4	28%	6%	80	-0.2	240/285/353	113	317	13	3	27%	5%	77	-0.3
✕Clint Coulter 2015 · A	22	43	48→50	42→40	46	218/299/364	146	282	16	5	28%	8%	88	+0.5	210/277/335	125	268	12	4	26%	6%	74	-0.6	200/266/338	137	245	16	4	25%	5%	67	-0.4
✕Michael Chavis 2018 · AA	22	41→46	53→60	47→45	36	216/264/387	171	283	21	4	32%	5%	81	-0.1	237/292/419	182	316	24	6	32%	6%	99	+1.2	237/296/422	185	318	26	5	33%	7%	100	+0.6
✕Alex Jackson 2018 · AA	22	40→38	49→60	42→30	34	204/259/348	144	300	17	3	37%	5%	70	-0.8	193/257/364	171	286	22	3	40%	5%	74	-0.6	173/252/371	198	240	29	2	40%	5%	72	-0.3
✕Jhonkensy Noel 2024 · AAA	23	37→42	52→55	41→45	40	203/265/366	163	260	22	3	31%	6%	76	-0.4	209/265/378	169	271	22	3	31%	6%	80	-0.2	201/256/375	174	256	24	1	32%	5%	73	-0.4
✕Victor Ferrante 2008 · A	23	44→42	49→55	41→45	37	217/281/370	153	322	17	6	36%	6%	83	+0.1	215/274/339	124	304	13	8	32%	6%	73	-0.6	206/265/319	113	284	12	7	30%	6%	63	-1.1
✕Jamie Romak 2008 · A	22	40→48	52→55	41→45	44	206/290/375	170	292	20	4	35%	9%	88	+0.5	201/265/348	147	283	17	3	34%	7%	72	-0.7	202/257/379	177	268	21	5	33%	6%	74	-0.4
●Adam Duvall 2012 · A	23	44→45	55→70	44→45	45	232/299/425	192	279	23	4	26%	7%	103	+1.5	220/273/404	184	258	24	4	25%	6%	88	+0.4	226/286/501	275	244	42	3	28%	6%	116	+1.8
●Davis Schneider 2022 · A	23	44→45	51→55	44→50	42	208/292/368	161	347	19	5	42%	10%	87	+0.4	217/312/392	175	299	20	11	32%	11%	100	+1.3	212/323/402	190	276	23	9	30%	13%	106	+1.4

Randy Guzman

Career Stats + Projections

Career Comps

Career Path Comps