Wilfredo Lara

3B Beloit Sky Carp

Age 23 R/R 5'10" / 180 lbs A+ HR -10%H -3% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	A+MIA	427	.252/.342/.370	7	15	64	—	.213/.285/.309
2025	21	A+/AMIA	287	.183/.285/.305	3	17	32	—	.149/.228/.239
2026	22	A+MIA	285	.238/.370/.379	6	14	66	—	.194/.296/.302
2027PROJMLE	23	MLBMIA	1	.182/.268/.274	0	0	61	-0.0
2028PROJ30% MLB	24	MLBMIA	62	.187/.273/.289	1	2	66	-0.1
2029PROJ44% MLB	25	MLBMIA	119	.191/.277/.298	2	3	70	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

BB%84

Chase%78

Speed69

wRC+57

wOBA54

Whiff%47

Career WAR0.0 WAR median (P10 0.0 / P90 0.5, comp-based) · star 1% · didn't stick 93%

CompsDylan Neuse (age 24) · Grae Kessinger (age 23) · Max George (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†61

AVG/OBP/SLG.182 / .268 / .274

PA1

HR0

K%29

BB%9

BABIP251

ISO93

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE45

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$0.0M

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)
2021	17	ROK	DSL Mets 2	—	110	96	20	6	1	2	10	26	4	3	2	208	309	354	663	146	265	24	9	303	10	—	—	—	—	—	—
2022	18	ROK	FCL Mets	—	157	136	32	7	3	1	17	34	4	8	3	235	338	353	691	118	307	22	11	317	24	—	—	—	—	—	—
2023	19	A	St. Lucie Mets	—	409	352	93	18	3	14	50	89	5	17	6	264	364	452	815	188	315	22	12	362	63	—	—	—	—	—	—
2024	20	A+	Beloit Sky Carp	—	427	373	94	13	5	7	44	94	7	15	4	252	342	370	712	118	316	22	10	322	64	—	—	—	—	—	—
2025	21	A+	Beloit Sky Carp	—	268	231	42	10	5	3	30	60	2	15	7	182	281	307	589	126	227	22	11	266	30	—	—	—	—	—	—
2025	21	A	Jupiter Hammerheads	—	19	15	3	1	0	0	2	2	1	2	1	200	333	267	600	67	214	11	11	275	55	—	—	—	—	—	—
2026	22	A+	Beloit Sky Carp	—	285	235	56	13	1	6	46	72	3	14	2	238	370	379	748	140	316	25	16	343	66	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Mets 2	—	110	100	12	3	1	1	6	32	4	3	2	120	200	200	400	80	164	29	5	183	10	—	—	—	—	—	—
2022	18	ROK MLE	FCL Mets	—	157	142	22	4	2	1	11	51	4	8	3	155	236	232	468	77	227	32	7	203	24	—	—	—	—	—	—
2023	19	A MLE	St. Lucie Mets	—	409	365	70	14	2	8	37	128	5	17	6	192	275	307	582	115	264	31	9	261	63	—	—	—	—	—	—
2024	20	A+ MLE	Beloit Sky Carp	—	427	385	82	11	4	6	32	118	7	15	4	213	285	309	594	96	281	28	7	263	64	—	—	—	—	—	—
2025	21	A+ MLE	Beloit Sky Carp	—	268	239	35	8	4	2	22	78	2	15	7	146	224	238	463	92	198	29	8	213	30	—	—	—	—	—	—
2025	21	A MLE	Jupiter Hammerheads	—	19	16	3	1	0	0	1	3	1	2	1	188	278	250	528	62	196	16	5	249	55	—	—	—	—	—	—
2026	22	A+ MLE	Beloit Sky Carp	—	285	248	48	10	1	5	33	91	3	14	2	194	296	302	598	109	276	32	12	266	66	—	—	—	—	—	—
2021	17	ROK MLE	DSL Mets 2	—	110	100	12	3	1	1	6	32	4	3	2	120	200	200	400	80	164	29	5	183	10	—	—	—	—	—	—
2021	17	ROK RAW	DSL Mets 2	—	110	96	20	6	1	2	10	26	4	3	2	208	309	354	663	146	265	24	9	303	10	—	—	—	—	—	—
2022	18	ROK MLE	FCL Mets	—	157	142	22	4	2	1	11	51	4	8	3	155	236	232	468	77	233	32	7	203	24	—	—	—	—	—	—
2022	18	ROK RAW	FCL Mets	—	157	136	32	7	3	1	17	34	4	8	3	235	338	353	691	118	307	22	11	317	24	—	—	—	—	—	—
2023	19	A MLE	St. Lucie Mets	—	409	365	70	14	2	8	37	128	5	17	6	192	275	307	582	115	268	31	9	261	63	—	—	—	—	—	—
2023	19	A RAW	St. Lucie Mets	—	409	352	93	18	3	14	50	89	5	17	6	264	364	452	815	188	315	22	12	362	63	—	—	—	—	—	—
2024	20	A+ MLE	Beloit Sky Carp	—	427	385	82	11	4	6	32	118	7	15	4	213	285	309	594	96	288	28	7	263	64	—	—	—	—	—	—
2024	20	A+ RAW	Beloit Sky Carp	—	427	373	94	13	5	7	44	94	7	15	4	252	342	370	712	118	316	22	10	322	64	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	287	254	38	9	4	2	24	81	3	17	8	150	231	240	471	91	205	28	8	215	32	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	287	246	45	11	5	3	32	62	3	17	8	183	285	305	590	122	226	22	11	267	32	—	—	—	—	—	—
2026	22	A+ MLE	Beloit Sky Carp	—	285	248	48	10	1	5	33	91	3	14	2	194	296	302	598	109	281	32	12	266	66	—	—	—	—	—	—
2026	22	A+ RAW	Beloit Sky Carp	—	285	235	56	13	1	6	46	72	3	14	2	238	370	379	748	140	316	25	16	343	66	—	—	—	—	—	—
2021	17	ROK MLE	DSL Mets 2	—	110	99	12	3	1	1	6	32	4	3	2	121	200	202	402	81	164	29	5	183	10	—	—	—	—	—	—
2022	18	ROK MLE	FCL Mets	—	157	141	22	4	2	1	11	51	4	8	3	156	236	234	470	78	227	32	7	203	24	—	—	—	—	—	—
2023	19	A MLE	St. Lucie Mets	—	409	364	70	14	2	8	37	128	5	17	6	192	275	308	583	115	264	31	9	261	63	—	—	—	—	—	—
2024	20	A+ MLE	Beloit Sky Carp	—	427	385	82	11	4	6	32	118	7	15	4	213	285	309	594	96	281	28	7	263	64	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	287	258	38	9	4	2	24	81	3	17	8	147	231	236	468	89	198	28	8	215	32	—	—	—	—	—	—
2026	22	A+ MLE	Beloit Sky Carp	—	285	247	48	10	1	5	33	91	3	14	2	194	296	304	599	109	276	32	12	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A+ MLE	Beloit Sky Carp	—	427	385	82	11	4	6	32	118	7	15	4	213	285	309	594	96	281	28	7	263	64	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	287	258	38	9	4	2	24	81	3	17	8	147	231	236	468	89	198	28	8	215	32	—	—	—	—	—	—
2026	22	A+ MLE	Beloit Sky Carp	—	285	247	48	10	1	5	33	91	3	14	2	194	296	304	599	109	276	32	12	266	66	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIA	0%	395	350	66	13	3	5	38	115	4	11	3	188	274	287	560	99	259	29	10	258	61	-19	+1	+0	+1	+9	-0.2
▸ 2027 — real world (MLB)
2027	23	MLB CTX	MIA	0%	1	1	0	0	0	0	0	0	0	0	0	182	268	274	542	92	251	0	0	250	61	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIA	30%	205	181	35	7	1	3	20	58	2	6	2	194	279	302	582	109	262	28	10	266	66	-8	+0	+0	+1	+4	-0.3
2029	25	MLB MLE	MIA	44%	268	237	47	9	2	5	26	75	3	8	2	198	283	312	595	115	264	28	10	271	70	-10	+1	+0	+1	+6	-0.2
2030	26	MLB MLE	MIA	51%	317	281	56	11	2	6	30	88	3	9	3	200	285	318	603	118	265	28	9	274	72	-11	+1	+0	+1	+7	-0.2
2031	27	MLB MLE	MIA	52%	341	302	61	12	2	7	33	94	3	9	3	201	285	320	605	119	266	28	10	275	72	-11	+1	+0	+1	+7	-0.2
2032	28	MLB MLE	MIA	53%	351	312	63	12	2	7	33	97	3	8	3	201	285	319	604	118	266	28	9	275	72	-12	+0	-1	+1	+8	-0.3
2033	29	MLB MLE	MIA	53%	348	309	61	12	2	6	33	97	3	7	2	199	282	313	595	114	264	28	9	271	70	-13	+1	-1	+1	+8	-0.5
2028	24	MLB CTX	MIA	30%	62	55	10	2	0	1	6	18	1	2	1	187	273	289	562	102	253	29	10	258	66	-2	+0	+0	+0	+1	-0.1
2029	25	MLB CTX	MIA	44%	119	106	21	4	1	2	11	33	1	3	1	191	277	298	575	107	255	28	9	263	70	-4	+0	+0	+0	+3	-0.1
2030	26	MLB CTX	MIA	51%	161	143	28	5	1	3	15	45	2	5	1	193	279	303	582	110	256	28	9	266	72	-5	+1	+0	+1	+3	-0.1
2031	27	MLB CTX	MIA	52%	179	158	31	6	1	3	17	50	2	5	1	194	279	305	585	111	257	28	9	267	72	-6	+1	+0	+1	+4	-0.1
2032	28	MLB CTX	MIA	53%	187	165	32	6	1	3	18	52	2	4	1	195	279	305	584	110	257	28	10	267	72	-6	+0	-0	+1	+4	-0.1
2033	29	MLB CTX	MIA	53%	183	162	31	6	1	3	17	51	2	3	1	192	276	299	575	107	255	28	9	263	70	-7	+0	-1	+1	+4	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	891	789	153	29	5	15	84	249	10	22	6	194	280	300	580	106	260	28	9	265	61	-31	+2	-1	+3	+19	-0.8
/ 162G	—	A+C		—	650	576	112	21	4	11	61	182	7	16	4	194	280	302	582	108	261	28	9	265	61	-23	+1	-1	+2	+14	-0.6
Career	—	MLE		—	3675	3266	623	120	26	59	334	1059	45	126	41	191	275	298	573	107	260	29	9	259	61	-72	+4	-2	+7	+43	-2.0
/ 162G	—	MLE		—	650	578	110	21	5	10	59	187	8	22	7	190	274	296	570	106	260	29	9	259	61	-23	+1	-1	+2	+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 A+Beloit Sky Carp · 285 PAwOBA .336 → .266 (−69)K% 25.3% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.26%	÷1.000	×1.270	—	—	32.08%
BB% (unintentional) /PA	16.14%	÷1.000	×0.710	—	×1.012	11.60%
HBP% /PA	1.05%	—	×0.790	—	×1.012	0.84%
Singles /BIP	22.09%	÷1.000	×0.920	×0.974	×1.012	20.03%
Doubles /BIP	7.98%	÷1.000	×0.810	×0.974	×1.012	6.37%
Triples /BIP	0.61%	÷1.000	×0.850	×0.974	×1.012	0.51%
Home runs /BIP	3.68%	÷1.000	×0.800	—	×1.012	2.98%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .336 → .266; ISO .140 → .110; BABIP .316 → .276. 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 A+Beloit Sky Carp · 268 PAwOBA .264 → .213 (−50)K% 22.4% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.39%	÷0.972	×1.270	—	—	29.25%
BB% (unintentional) /PA	11.19%	÷0.978	×0.710	—	×1.027	8.35%
HBP% /PA	0.75%	—	×0.790	—	×1.027	0.61%
Singles /BIP	14.04%	÷1.028	×0.920	×0.972	×1.027	12.54%
Doubles /BIP	5.85%	÷0.961	×0.810	×0.972	×1.027	4.92%
Triples /BIP	2.92%	÷1.000	×0.850	×0.972	×1.027	2.48%
Home runs /BIP	1.75%	÷1.006	×0.800	—	×1.027	1.43%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 101, 1B 106, 2B 92, 3B 100, K 94, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .264 → .213; ISO .126 → .102; BABIP .227 → .198. 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 AJupiter Hammerheads · 19 PAwOBA .284 → .249 (−35)K% 10.5% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.53%	÷1.014	×1.360	—	—	14.11%
BB% (unintentional) /PA	10.53%	÷1.018	×0.690	—	×1.015	7.24%
HBP% /PA	5.26%	—	×0.780	—	×1.015	4.17%
Singles /BIP	15.38%	÷1.019	×0.920	—	×1.015	14.10%
Doubles /BIP	7.69%	÷0.947	×0.830	—	×1.015	6.85%
Triples /BIP	0.00%	÷0.900	×0.910	—	×1.015	0.00%
Home runs /BIP	0.00%	÷1.035	×0.800	—	×1.015	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 104, 2B 89, 3B 80, K 103, BB 104 — 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).

Result: wOBA .284 → .249; ISO .067 → .065; BABIP .214 → .196. 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 A+Beloit Sky Carp · 427 PAwOBA .316 → .263 (−53)K% 22.0% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.01%	÷1.014	×1.270	—	—	27.58%
BB% (unintentional) /PA	10.07%	÷0.998	×0.710	—	×1.042	7.47%
HBP% /PA	1.64%	—	×0.790	—	×1.042	1.35%
Singles /BIP	24.73%	÷1.034	×0.920	×0.978	×1.042	22.42%
Doubles /BIP	4.66%	÷0.962	×0.810	×0.978	×1.042	4.00%
Triples /BIP	1.79%	÷1.150	×0.850	×0.978	×1.042	1.35%
Home runs /BIP	2.51%	÷0.935	×0.800	—	×1.042	2.24%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 87, 1B 107, 2B 92, 3B 130, K 103, BB 100 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .316 → .263; ISO .118 → .098; BABIP .316 → .281. 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 ASt. Lucie Mets · 409 PAwOBA .355 → .261 (−94)K% 21.8% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.76%	÷0.947	×1.360	—	—	31.26%
BB% (unintentional) /PA	12.22%	÷0.977	×0.690	—	×1.045	9.02%
HBP% /PA	1.22%	—	×0.780	—	×1.045	1.00%
Singles /BIP	22.05%	÷1.054	×0.920	×0.950	×1.045	19.11%
Doubles /BIP	6.84%	÷0.987	×0.830	×0.950	×1.045	5.71%
Triples /BIP	1.14%	÷1.150	×0.910	×0.950	×1.045	0.90%
Home runs /BIP	5.32%	÷1.274	×0.800	—	×1.045	3.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 111, 2B 97, 3B 130, K 89, BB 95 — 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 ×0.950.

Result: wOBA .355 → .261; ISO .188 → .123; BABIP .315 → .264. 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).

2022 ROKFCL Mets · 157 PAwOBA .309 → .203 (−106)K% 21.7% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.66%	÷0.964	×1.440	—	—	32.34%
BB% (unintentional) /PA	10.83%	÷1.014	×0.620	—	×1.022	6.77%
HBP% /PA	2.55%	—	×0.720	—	×1.022	1.88%
Singles /BIP	20.59%	÷1.015	×0.820	×0.950	×1.022	16.15%
Doubles /BIP	6.86%	÷1.103	×0.720	×0.950	×1.022	4.35%
Triples /BIP	2.94%	÷1.012	×0.720	×0.950	×1.022	2.03%
Home runs /BIP	0.98%	÷1.078	×0.780	—	×1.022	0.73%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 103, 2B 121, 3B 102, K 93, BB 103 — 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 ×0.950.

Result: wOBA .309 → .203; ISO .118 → .072; BABIP .307 → .227. 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).

2021 DSLDSL Mets 2 · 110 PAwOBA .292 → .183 (−109)K% 23.6% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.64%	÷1.000	×1.220	—	—	28.84%
BB% (unintentional) /PA	8.18%	÷1.000	×0.700	—	×1.022	5.86%
HBP% /PA	3.64%	—	×0.700	—	×1.022	2.60%
Singles /BIP	15.71%	÷1.000	×0.680	×0.950	×1.022	10.38%
Doubles /BIP	8.57%	÷1.000	×0.600	×0.950	×1.022	5.00%
Triples /BIP	1.43%	÷1.000	×0.600	×0.950	×1.022	0.83%
Home runs /BIP	2.86%	÷1.000	×0.470	—	×1.022	1.37%

Factors used: level-wide DSL 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 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 ×0.950.

Result: wOBA .292 → .183; ISO .146 → .077; BABIP .265 → .164. 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
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
#3Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.3	891	17	22	200	281	317	+3	+2	-0.1	-0.1
/162	664	12	17	+2.4	+1.1	-0.1	pk7: 0
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Alexi 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
#6Vic Harris'72-'80 * career totals — 8 seasons, 1,805 PA	2.7	1,805	13	36	215*	286*	325*	+4	-7	-1.9	-1.1
/162	664	5	13	+1.5	-2.7	-0.7	pk7: -0

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
Wilfredo Lara (OGILVIE)	23	30	35	55	45	186/271/284	98	259	2	5	29%	10%	61	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	178/253/255	77	262	8	14	33%	8%	47	-2.6	205/278/293	88	286	6	12	28%	9%	64	-1.3	205/285/293	88	279	5	13	26%	9%	65	-0.6
✕Grae Kessinger 2021 · A	23	43→30	39→45	50	47	208/276/293	85	264	7	12	23%	8%	63	-1.4	192/262/298	106	257	12	15	29%	8%	59	-1.6	186/264/278	92	250	9	8	27%	8%	55	-0.8
✕Max George 2019 · A	23	36→39	44→45	53→55	44	182/265/298	116	243	11	20	29%	7%	62	-1.4	190/276/301	111	283	11	20	34%	8%	66	-1.1	149/258/287	138	249	17	20	43%	10%	55	-0.8
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/261	97	258	8	24	35%	14%	66	-1.1	191/307/295	104	295	8	20	33%	12%	77	-0.3	192/310/298	105	297	8	21	33%	12%	77	-0.2
✕Connor Kokx 2023 · A	23	43	41→40	48→60	49	207/295/306	98	272	9	14	26%	9%	74	-0.6	211/296/289	78	296	5	24	28%	8%	70	-0.8	203/295/264	61	294	3	34	29%	8%	62	-0.6
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	300	7	14	36%	7%	53	-2.1	208/308/324	116	294	11	13	30%	10%	84	+0.1	214/316/317	103	300	9	14	28%	10%	82	+0.0
✕Michael Suiter 2015 · A	23	43→38	41→40	52→50	43	208/276/305	97	263	9	15	24%	6%	66	-1.1	201/253/279	78	272	6	10	27%	5%	51	-2.3	193/243/263	70	263	6	10	28%	4%	40	-1.8
✕Steven Baron 2014 · A	23	35	40→45	53→50	34	180/213/275	96	257	7	9	33%	4%	34	-3.5	216/263/300	84	296	5	9	27%	6%	59	-1.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Nick Meyer 2021 · A	24	36	36→40	52→50	41	177/235/240	63	250	4	15	30%	6%	35	-3.4	215/285/296	81	280	8	14	24%	8%	67	-1.1	210/285/284	74	270	8	16	24%	8%	62	-0.6
✕Tony Bullard 2024 · A	24	40	44→40	52→50	43	202/263/315	113	267	12	12	29%	7%	63	-1.3	214/271/319	105	285	9	12	27%	6%	68	-1.0	210/267/311	102	278	9	13	27%	6%	61	-0.5
✕Mariel Bautista 2021 · A	23	41→36	42→40	49→50	39	203/253/300	97	265	10	15	27%	5%	56	-1.9	210/256/331	121	304	12	11	34%	5%	64	-1.3	185/218/329	144	263	16	11	36%	3%	49	-0.6
✕Fabian Pertuz 2024 · AA	23	35→36	40	51→55	36	179/227/266	87	258	7	13	33%	5%	38	-3.2	186/239/281	95	297	9	11	38%	6%	46	-2.6	156/208/244	89	265	10	7	43%	5%	24	-2.2
✕Johan Lopez 2023 · AA	23	39	43→45	51→55	40	194/269/303	109	291	11	13	35%	7%	63	-1.3	205/275/304	99	311	8	12	34%	8%	65	-1.2	176/264/251	75	285	3	11	36%	10%	48	-0.5
✕Evan Chambers 2012 · A	23	38	43→40	47→50	48	188/281/296	107	273	10	17	32%	10%	67	-1.1	185/271/266	81	302	6	13	37%	10%	56	-1.9	147/244/190	43	263	2	14	40%	11%	29	-2.2
✕Bryce Arnold 2024 · AA	23	42	40→45	53→50	49	201/284/296	95	272	7	11	27%	9%	68	-1.0	186/276/289	103	283	10	10	35%	9%	64	-1.3	162/262/261	99	250	11	9	36%	9%	52	-1.2
✕Alerick Soularie 2023 · A	24	40	44→45	53→60	44	195/276/310	114	290	11	16	34%	9%	68	-1.0	200/282/313	113	289	12	26	32%	9%	71	-0.8	182/274/287	105	255	13	39	32%	9%	61	-0.5
✕Justin Farmer 2023 · A	24	38→32	43→40	54→55	50	183/286/289	106	286	11	20	36%	12%	68	-1.0	187/262/275	88	306	8	18	38%	9%	54	-2.0	160/223/221	61	269	5	22	40%	7%	25	-2.3
✕Kyler Fedko 2023 · A	23	43→42	42→50	51→55	47	212/283/319	108	277	9	10	26%	8%	72	-0.7	203/287/319	116	263	12	14	26%	10%	74	-0.6	195/275/339	144	243	18	22	27%	9%	72	-0.5
✕Larry Cobb 2008 · A	23	40→42	39→45	47→50	49	193/267/275	82	244	7	10	23%	8%	56	-1.9	209/271/322	113	267	12	11	25%	6%	68	-1.0	205/267/322	117	257	13	11	25%	6%	67	-0.5
✕River Town 2022 · A	23	43→38	37→40	54→50	43	202/278/275	73	283	3	12	28%	7%	61	-1.5	209/294/310	101	262	9	15	22%	8%	75	-0.5	204/297/299	95	251	9	15	21%	9%	72	-0.4

Wilfredo Lara

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps