Randy Guzman

OF St. Lucie Mets

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

Overview

APROSPECTMiLBFA 2035

OGV OFP35OGV rank#418ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKDSL Mets Blue	76	.209/.303/.388	2	1	4	—	.114/.184/.214
2025	20	A/ROKNYM	283	.302/.376/.524	10	2	92	—	.243/.305/.432
2026	21	A+/A/ROKNYM	294	.280/.379/.500	13	5	87	—	.224/.307/.391
2027PROJMLE	22	MLBNYM	404	.237/.297/.404	13	6	96	0.3
2028PROJ43% MLB	23	MLBNYM	94	.235/.296/.409	3	2	101	0.2
2029PROJ58% MLB	24	MLBNYM	174	.238/.300/.419	7	3	105	0.4

Next 3 projected WAR 0.8Projected 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$2M2033Arb-2$3M2034Arb-3$4M

Skills · percentileMiLB Statcast 2026 A

Max EV99

Speed75

BB%41

K%37

Z-Con%29

Whiff%22

Career WAR0.0 WAR median (P10 -0.0 / P90 12, comp-based) · star 4% · didn't stick 85%

CompsMark Vientos (age 22) · Allan Cerda (age 22) · Tom Murphy (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 178 proj PA

wRC+†96

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

PA178

HR6

K%29

BB%6

ISO167

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$16M ctrl surplus

Contract

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	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Arb-1	$2M	+0.7	$2M	+$0.5M
2033	Arb-2	$3M	+0.5	$1M	+$0.0M (cut)
2034	Arb-3	$4M	+0.4	$0.9M	+$0.0M (cut)
Totals		$5M		$9M	+$4M

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)
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	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYM	43%	218	198	48	9	1	8	14	62	4	4	1	241	303	419	721	177	307	28	6	318	101	+0	+0	-1	-1	+5	0.3
2029	24	MLB MLE	NYM	58%	300	273	67	13	2	11	19	84	5	5	1	244	306	429	735	184	308	28	6	324	105	+2	+1	-1	-2	+6	0.6
2030	25	MLB MLE	NYM	65%	352	320	79	15	2	14	23	98	6	6	2	246	309	435	743	189	307	28	7	327	107	+3	+0	-1	-2	+8	0.9
2031	26	MLB MLE	NYM	68%	382	347	85	16	2	15	26	105	6	6	2	247	310	438	748	191	306	27	7	329	109	+4	+0	-1	-2	+8	1.0
2032	27	MLB MLE	NYM	68%	394	358	89	17	2	16	27	108	6	6	2	246	310	434	743	188	305	27	7	327	107	+4	+0	-1	-2	+9	1.0
2033	28	MLB MLE	NYM	68%	396	360	88	17	2	15	27	109	6	4	2	244	308	429	736	185	304	28	7	324	106	+3	+0	-1	-2	+9	0.8
2034	29	MLB MLE	NYM	66%	388	353	86	16	2	15	26	108	6	3	1	241	305	422	727	181	302	28	7	321	103	+1	+0	-2	-2	+8	0.6
2035	30	MLB MLE	NYM	66%	379	345	82	15	2	14	25	107	6	2	1	238	301	415	715	176	300	28	7	316	100	-0	+0	-3	-2	+8	0.3
2036	31	MLB MLE	NYM	65%	364	332	78	14	2	13	24	104	5	1	1	234	296	405	701	171	297	29	7	310	96	-2	-0	-3	-2	+8	0.0
2037	32	MLB MLE	NYM	65%	342	312	71	13	1	12	22	99	5	1	1	229	290	392	681	163	293	29	6	302	90	-4	-0	-4	-2	+7	-0.3
2028	23	MLB CTX	NYM	43%	94	86	19	4	0	3	6	27	2	2	0	235	296	409	705	174	297	29	6	311	101	+0	+0	-0	-1	+2	0.2
2029	24	MLB CTX	NYM	58%	174	158	38	7	1	7	11	49	3	3	1	238	300	419	719	181	298	28	6	317	105	+1	+0	-0	-1	+4	0.4
2030	25	MLB CTX	NYM	65%	228	207	49	9	1	9	15	63	4	4	1	239	303	424	727	185	297	28	7	320	107	+2	+0	-0	-1	+5	0.6
2031	26	MLB CTX	NYM	68%	260	237	56	10	1	10	17	72	4	4	1	240	304	427	731	187	296	28	7	322	109	+3	+0	-0	-2	+6	0.7
2032	27	MLB CTX	NYM	68%	268	244	59	11	1	11	18	73	4	4	1	239	303	423	727	184	295	27	7	320	107	+2	+0	-0	-2	+6	0.7
2033	28	MLB CTX	NYM	68%	269	245	58	11	1	10	18	74	4	3	1	237	301	419	720	182	294	28	7	318	106	+2	+0	-1	-2	+6	0.5
2034	29	MLB CTX	NYM	66%	258	235	55	10	1	10	17	72	4	2	1	235	299	412	711	178	292	28	7	314	103	+1	+0	-1	-2	+6	0.4
2035	30	MLB CTX	NYM	66%	248	225	52	9	1	9	17	70	4	1	1	232	295	405	700	173	290	28	7	309	100	-0	-0	-2	-1	+5	0.2
2036	31	MLB CTX	NYM	65%	237	216	49	9	1	8	16	68	3	1	1	228	290	395	685	167	287	29	7	303	96	-1	-0	-2	-1	+5	0.0
2037	32	MLB CTX	NYM	65%	221	202	46	8	1	8	14	64	3	1	0	222	284	382	666	160	283	29	6	296	90	-3	+0	-3	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2257	2055	481	88	9	85	149	632	35	25	8	234	297	410	707	176	294	28	7	313	95	+7	+2	-11	-14	+49	3.4
/ 162G	—	A+C		—	650	592	138	25	3	24	43	182	10	7	2	233	297	407	704	174	293	28	7	313	95	+2	+1	-3	-4	+14	1.0
Career	—	MLE		—	4523	4101	953	185	24	159	305	1328	81	49	25	232	298	406	704	173	301	29	7	309	95	+10	+2	-18	-22	+80	5.3
/ 162G	—	MLE		—	650	589	137	27	3	23	44	191	12	7	4	233	300	406	705	173	301	29	7	309	95	+2	+0	-3	-4	+14	0.9

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 ASt. Lucie Mets · 247 PAwOBA .384 → .302 (−82)K% 26.7% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.72%	÷1.000	×1.360	—	—	36.34%
BB% (unintentional) /PA	11.34%	÷1.000	×0.690	—	×1.015	7.94%
HBP% /PA	3.24%	—	×0.780	—	×1.015	2.56%
Singles /BIP	23.24%	÷1.000	×0.920	×1.003	×1.015	21.76%
Doubles /BIP	7.04%	÷1.000	×0.830	×1.003	×1.015	5.95%
Triples /BIP	1.41%	÷1.000	×0.910	×1.003	×1.015	1.30%
Home runs /BIP	8.45%	÷1.000	×0.800	—	×1.015	6.86%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .384 → .302; ISO .240 → .184; BABIP .338 → .304. 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 A+Brooklyn Cyclones · 32 PAwOBA .428 → .362 (−66)K% 21.9% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.88%	÷1.000	×1.310	—	—	28.66%
BB% (unintentional) /PA	6.25%	÷1.000	×0.600	—	×1.027	3.85%
HBP% /PA	3.12%	—	×0.770	—	×1.027	2.47%
Singles /BIP	42.86%	÷1.000	×0.870	—	×1.027	38.29%
Doubles /BIP	4.76%	÷1.000	×0.780	—	×1.027	3.81%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.027	0.00%
Home runs /BIP	4.76%	÷1.000	×0.880	—	×1.027	4.30%

Factors used: league row South Atlantic League. 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 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .428 → .362; ISO .143 → .124; BABIP .476 → .419. 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 ROKFCL Mets · 15 PAwOBA .190 → .062 (−127)K% 60.0% → 86.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	60.00%	÷1.000	×1.440	—	—	86.40%
BB% (unintentional) /PA	0.00%	÷1.000	×0.620	—	×0.985	0.00%
HBP% /PA	6.67%	—	×0.720	—	×0.985	4.73%
Singles /BIP	20.00%	÷1.000	×0.820	—	×0.985	16.15%
Doubles /BIP	20.00%	÷1.000	×0.720	—	×0.985	14.18%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.985	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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .190 → .062; ISO .071 → .013; BABIP .400 → .303. 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 ROKFCL Mets · 178 PAwOBA .367 → .267 (−100)K% 18.5% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.54%	÷1.007	×1.440	—	—	26.51%
BB% (unintentional) /PA	8.43%	÷0.988	×0.620	—	×0.995	5.26%
HBP% /PA	3.93%	—	×0.720	—	×0.995	2.82%
Singles /BIP	22.76%	÷0.987	×0.820	×0.976	×0.995	18.38%
Doubles /BIP	7.32%	÷0.989	×0.720	×0.976	×0.995	5.18%
Triples /BIP	0.00%	÷0.900	×0.720	×0.976	×0.995	0.00%
Home runs /BIP	5.69%	÷0.927	×0.780	—	×0.995	4.76%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 101, BB 98 — 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 ×0.976.

Result: wOBA .367 → .267; ISO .192 → .145; BABIP .319 → .247. 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 ASt. Lucie Mets · 105 PAwOBA .416 → .367 (−48)K% 20.0% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.060	×1.360	—	—	25.66%
BB% (unintentional) /PA	5.71%	÷0.953	×0.690	—	×1.030	4.26%
HBP% /PA	1.90%	—	×0.780	—	×1.030	1.53%
Singles /BIP	18.67%	÷0.977	×0.920	×0.993	×1.030	17.97%
Doubles /BIP	17.33%	÷0.903	×0.830	×0.993	×1.030	16.28%
Triples /BIP	2.67%	÷1.150	×0.910	×0.993	×1.030	2.16%
Home runs /BIP	4.00%	÷0.855	×0.800	—	×1.030	3.86%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 95, 2B 81, 3B 130, K 112, BB 91 — 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 ×0.993.

Result: wOBA .416 → .367; ISO .271 → .241; BABIP .397 → .373. 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 Mets Blue · 76 PAwOBA .302 → .174 (−128)K% 32.9% → 41.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.89%	÷0.964	×1.220	—	—	41.63%
BB% (unintentional) /PA	11.84%	÷1.067	×0.700	—	×0.995	7.73%
HBP% /PA	0.00%	—	×0.700	—	×0.995	0.00%
Singles /BIP	16.67%	÷1.035	×0.680	—	×0.995	10.89%
Doubles /BIP	9.52%	÷1.001	×0.600	—	×0.995	5.68%
Triples /BIP	2.38%	÷0.900	×0.600	—	×0.995	1.58%
Home runs /BIP	4.76%	÷0.967	×0.470	—	×0.995	2.30%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 107, 2B 100, 3B 80, K 93, BB 113 — 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).

Result: wOBA .302 → .174; ISO .179 → .090; BABIP .300 → .186. 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 Mets Orange · 177 PAwOBA .293 → .179 (−114)K% 33.3% → 41.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.975	×1.220	—	—	41.71%
BB% (unintentional) /PA	16.95%	÷1.052	×0.700	—	×1.008	11.36%
HBP% /PA	2.26%	—	×0.700	—	×1.008	1.59%
Singles /BIP	16.67%	÷1.020	×0.680	×0.972	×1.008	10.88%
Doubles /BIP	9.52%	÷1.012	×0.600	×0.972	×1.008	5.53%
Triples /BIP	0.00%	÷0.949	×0.600	×0.972	×1.008	0.00%
Home runs /BIP	3.57%	÷1.084	×0.470	—	×1.008	1.56%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 90, K 95, BB 110 — 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 ×0.972.

Result: wOBA .293 → .179; ISO .119 → .057; BABIP .272 → .167. 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
#1Scott Spiezio'96-'07 * career totals — 11 seasons, 4,412 PA	6.6	4,412	119	33	245*	318*	406*	-34	-15	7.5	7.8
/162	664	18	5	-5.2	-2.3	1.1	pk7: 8
#2Scott 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.7	2,435	91	26	242	301	423	-15	-13	6.0	5.5
/162	664	25	7	-4.0	-3.5	1.6	pk7: 5
#3Robert Fick'98-'07 * career totals — 8 seasons, 2,658 PA	4.0	2,658	69	6	249*	318*	393*	-24	-10	3.9	5.0
/162	664	17	1	-6.0	-2.4	1.0	pk7: 6
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Craig Monroelast yr '09 career totals — 8 seasons, 2,898 PA	4.4	2,898	114	19	253	302	443	-28	-32	3.8	4.3
/162	664	26	4	-6.5	-7.4	0.9	pk7: 5
#6Jerry Turner'74-'83 * career totals — 7 seasons, 1,931 PA	2.9	1,931	45	45	251*	316*	413*	-22	-11	3.0	3.4
/162	664	15	15	-7.7	-3.7	1.0	pk7: 4

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	—	—	—	—	235/295/400	165	307	6	3	29%	6%	96	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●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
✕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
●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
✕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
●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
✕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
●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
✕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
✕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
●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
✕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
●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
✕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
✕Dylan Crews 2024 · AA	22	48→47	47→50	42→55	40	232/299/364	132	324	14	11	31%	6%	88	+0.5	228/291/369	141	286	15	25	25%	7%	86	+0.3	223/289/367	144	276	16	26	24%	7%	84	+0.2
✕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

Randy Guzman

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps