Chase Meggers

C St. Lucie Mets

Age 24 L/R 6'0" / 205 lbs A H -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	ANYM	68	.276/.382/.328	0	5	69	—	.233/.324/.283
2026	23	A+/ANYM	343	.240/.331/.323	2	3	37	—	.183/.252/.237
2027PROJMLE	24	MLBNYM	380	.187/.254/.254	2	6	45	-0.3
2028PROJ30% MLB	25	MLBNYM	63	.186/.254/.261	1	1	51	-0.1
2029PROJ44% MLB	26	MLBNYM	116	.189/.258/.273	1	2	55	-0.2

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031Ext$0.0M2032Ext$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

BB%83

Z-Con%78

K%64

wRC+60

wOBA51

Chase%50

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsAlex Perez (age 23) · John Curtis (age 24) · Logan Moore (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 181 proj PA

wRC+†45

AVG/OBP/SLG.185 / .252 / .252

PA181

HR1

K%28

BB%7

ISO67

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 30

Toolsscout grade

CONTACT25

scouting grade only

POWER30

scouting grade only

EYE45

scouting grade only

SPEED47

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	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2025	22	A	St. Lucie Mets	—	68	58	16	3	0	0	7	19	3	5	0	276	382	328	710	52	410	28	10	334	69	—	—	—	—	—	—
2026	23	A+	Brooklyn Cyclones	—	75	62	16	5	0	0	12	16	1	0	1	258	387	339	725	81	348	21	16	340	55	—	—	—	—	—	—
2026	23	A	St. Lucie Mets	—	268	238	56	14	0	2	23	72	5	3	2	235	316	319	635	84	325	27	9	291	32	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	St. Lucie Mets	—	68	60	14	3	0	0	5	24	3	5	0	233	324	283	607	50	385	35	7	270	69	—	—	—	—	—	—
2026	23	A+ MLE	Brooklyn Cyclones	—	75	67	14	4	0	0	7	21	1	0	1	209	293	269	562	60	292	28	9	250	55	—	—	—	—	—	—
2026	23	A MLE	St. Lucie Mets	—	268	245	43	10	0	1	16	98	5	3	2	176	241	229	469	53	280	37	6	216	32	—	—	—	—	—	—
2025	22	A MLE	St. Lucie Mets	—	68	60	14	3	0	0	5	24	3	5	0	233	324	283	607	50	389	35	7	270	69	—	—	—	—	—	—
2025	22	A RAW	St. Lucie Mets	—	68	58	16	3	0	0	7	19	3	5	0	276	382	328	710	52	410	28	10	334	69	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	343	312	57	14	0	1	23	119	6	3	3	183	252	237	489	54	289	35	7	223	37	—	—	—	—	—	—
2026	23	A RAW	2 teams	—	343	300	72	19	0	2	35	88	6	3	3	240	331	323	655	83	330	26	10	302	37	—	—	—	—	—	—
2025	22	A MLE	St. Lucie Mets	—	68	60	14	3	0	0	5	24	3	5	0	233	324	283	607	50	385	35	7	270	69	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	343	311	57	14	0	1	23	119	6	3	3	183	252	238	490	55	283	35	7	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	St. Lucie Mets	—	68	60	14	3	0	0	5	24	3	5	0	233	324	283	607	50	385	35	7	270	69	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	343	311	57	14	0	1	23	119	6	3	3	183	252	238	490	55	283	35	7	223	37	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	NYM	0%	380	346	65	14	2	2	26	107	5	6	2	187	254	254	509	67	261	28	7	235	45	-25	+0	+0	+7	+8	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	NYM	30%	210	190	37	8	1	2	15	58	3	3	1	192	260	270	529	78	263	28	7	243	51	-12	+0	+0	+4	+5	-0.4
2029	26	MLB MLE	NYM	44%	263	239	47	10	1	3	19	72	3	4	1	195	264	282	545	86	264	27	7	250	55	-14	+0	+0	+5	+6	-0.3
2030	27	MLB MLE	NYM	49%	292	265	52	11	1	3	21	80	4	4	1	197	265	285	551	88	265	27	7	252	57	-15	+0	+0	+5	+6	-0.3
2028	25	MLB CTX	NYM	30%	63	58	11	2	0	1	4	18	1	1	0	186	254	261	515	75	254	29	6	238	51	-4	+0	+0	+1	+1	-0.1
2029	26	MLB CTX	NYM	44%	116	106	19	4	0	1	8	32	1	2	1	189	258	273	531	83	256	28	7	244	55	-6	+0	+0	+2	+3	-0.2
2030	27	MLB CTX	NYM	49%	143	130	26	5	1	2	10	39	2	2	1	191	260	276	536	86	256	27	7	246	57	-7	+0	+0	+3	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	322	294	56	11	1	4	22	89	4	5	2	190	256	276	532	85	256	28	7	244	50	-17	+0	+0	+6	+7	-0.4
/ 162G	—	A+C		—	650	593	113	22	2	8	44	180	8	10	4	191	255	275	530	84	257	28	7	244	50	-35	+0	+0	+12	+14	-0.9
Career	—	MLE		—	1357	1230	238	53	4	10	96	404	21	22	7	193	264	267	531	74	277	30	7	242	50	-53	+1	+0	+17	+20	-1.5
/ 162G	—	MLE		—	650	589	114	25	2	5	46	194	10	11	3	194	264	268	532	75	277	30	7	242	50	-37	+1	+0	+12	+14	-1.0

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 · 268 PAwOBA .286 → .216 (−70)K% 26.9% → 36.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.87%	÷1.000	×1.360	—	—	36.54%
BB% (unintentional) /PA	8.58%	÷1.000	×0.690	—	×0.990	5.86%
HBP% /PA	1.87%	—	×0.780	—	×0.990	1.44%
Singles /BIP	24.10%	÷1.000	×0.920	×0.973	×0.990	21.35%
Doubles /BIP	8.43%	÷1.000	×0.830	×0.973	×0.990	6.74%
Triples /BIP	0.00%	÷1.000	×0.910	×0.973	×0.990	0.00%
Home runs /BIP	1.20%	÷1.000	×0.800	—	×0.990	0.95%

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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .286 → .216; ISO .084 → .061; BABIP .325 → .280. 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 · 75 PAwOBA .332 → .250 (−82)K% 21.3% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.33%	÷1.000	×1.310	—	—	27.95%
BB% (unintentional) /PA	16.00%	÷1.000	×0.600	—	×0.998	9.58%
HBP% /PA	1.33%	—	×0.770	—	×0.998	1.02%
Singles /BIP	23.91%	÷1.000	×0.870	×0.999	×0.998	20.74%
Doubles /BIP	10.87%	÷1.000	×0.780	×0.999	×0.998	8.45%
Triples /BIP	0.00%	÷1.000	×0.850	×0.999	×0.998	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×0.998	0.00%

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 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .332 → .250; ISO .081 → .063; BABIP .348 → .292. 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 · 68 PAwOBA .326 → .270 (−56)K% 27.9% → 35.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.94%	÷1.060	×1.360	—	—	35.85%
BB% (unintentional) /PA	10.29%	÷0.953	×0.690	—	—	7.45%
HBP% /PA	4.41%	—	×0.780	—	—	3.44%
Singles /BIP	33.33%	÷0.977	×0.920	—	—	31.40%
Doubles /BIP	7.69%	÷0.903	×0.830	—	—	7.07%
Triples /BIP	0.00%	÷1.150	×0.910	—	—	0.00%
Home runs /BIP	0.00%	÷0.855	×0.800	—	—	0.00%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .326 → .270; ISO .052 → .044; BABIP .410 → .385. 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
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#4Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
/162	664	3	1	+11.8	+0.0	0.1	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.8	503	5	7	193	258	272	+9	+8	-0.5	-0.2
/162	664	6	10	+11.9	+10.6	-0.7	pk7: 0
#5Mike Ryan'64-'74 * career totals — 9 seasons, 2,098 PA	3.2	2,098	28	4	196*	257*	311*	+38	+0	-1.9	-0.9
/162	664	9	1	+11.9	+0.0	-0.6	pk7: 0
#6Matt Walbeck'93-'03 * career totals — 9 seasons, 2,280 PA	3.4	2,280	28	13	222*	268*	305*	+40	-0	-3.5	-1.5
/162	664	8	4	+11.5	-0.0	-1.0	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
Chase Meggers (OGILVIE)	24	25	30	47	45	185/252/252	67	261	1	3	28%	7%	45	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alex Perez 2016 · A	23	40	35→30	45→40	41	190/250/251	60	279	2	4	31%	6%	43	-2.8	212/282/257	45	298	1	3	26%	8%	57	-1.8	213/284/247	34	296	0	2	26%	8%	53	-1.3
✕John Curtis 2009 · A	24	37	38→30	46→30	39	182/246/260	78	275	6	5	34%	7%	45	-2.7	204/266/271	67	291	4	4	29%	7%	54	-2.0	202/266/250	48	281	3	1	27%	7%	46	-1.1
✕Logan Moore 2015 · AA	24	38	38→40	40→30	41	188/241/269	82	261	5	3	29%	6%	44	-2.8	205/253/299	94	282	8	3	29%	6%	55	-2.0	197/244/289	92	272	10	0	30%	6%	48	-1.0
✕Michael Johnson 2013 · A	24	38	37→40	41→40	41	184/244/261	77	276	4	4	33%	7%	43	-2.8	208/273/278	70	300	4	6	29%	8%	58	-1.7	241/312/306	65	340	3	7	28%	9%	76	-0.2
✕Justin Fuller 2007 · A	24	42	35→40	48→45	46	198/258/261	64	263	2	7	24%	8%	49	-2.4	202/264/277	75	261	3	8	22%	7%	55	-2.0	201/266/283	82	258	3	8	22%	7%	55	-0.9
✕Matthew Morizio 2009 · A	25	40	37→40	48→50	47	191/262/267	76	254	5	9	26%	8%	52	-2.2	187/254/260	73	247	4	9	24%	7%	47	-2.5	115/190/137	22	150	0	3	21%	7%	-5	-1.3
✕Tim Arakawa 2017 · AAA	24	44→42	36→30	48→50	49	206/276/275	68	269	4	10	24%	9%	59	-1.7	214/279/294	80	299	7	12	28%	8%	63	-1.3	210/277/273	63	306	8	13	32%	8%	59	-0.8
✕Skyler Weber 2019 · A	24	39	35→30	52→50	43	183/246/246	62	266	2	9	30%	8%	40	-3.0	180/240/255	75	257	5	9	30%	7%	40	-3.0	146/207/207	62	205	5	9	30%	6%	15	-3.1
✕Peter Burns 2024 · A	24	41	40→30	49→30	44	197/282/289	91	274	7	8	29%	7%	65	-1.2	203/284/277	74	273	5	6	26%	8%	63	-1.3	190/277/242	52	253	6	2	25%	9%	51	-0.7
✕Andrés Alvarez 2021 · A	24	41→32	37→45	48→50	42	194/258/268	74	273	4	7	29%	6%	51	-2.3	203/269/323	120	290	13	15	33%	8%	68	-1.0	184/253/304	120	257	14	15	33%	8%	56	-1.0
✕Sean McCraw 2010 · A	24	43	36→30	44→30	48	200/280/270	69	282	4	4	28%	9%	59	-1.6	198/264/280	82	275	6	4	28%	8%	55	-1.9	179/245/252	73	244	6	1	27%	7%	39	-0.9
✕Ricardo Valenzuela 2015 · A	24	41	36→30	45→50	43	197/249/263	66	249	4	4	22%	6%	45	-2.7	201/255/263	62	251	4	3	20%	6%	47	-2.5	221/269/269	47	257	5	0	16%	6%	52	-0.7
✕Blake Tiberi 2019 · A	24	41→40	38→40	50	47	198/266/278	81	265	6	6	26%	8%	56	-1.9	196/263/276	80	281	5	10	30%	8%	54	-2.0	189/256/255	66	261	3	12	26%	8%	45	-2.3
✕Andrew Ely 2017 · AAA	24	42→44	37→30	40	40	202/252/272	70	275	5	6	28%	5%	49	-2.4	204/276/281	77	272	5	4	25%	8%	60	-1.6	194/276/268	74	254	4	1	23%	9%	57	-0.9
✕CJ Rodriguez 2024 · A	24	39	37→30	44→30	45	190/254/259	69	258	5	3	27%	7%	47	-2.5	184/259/237	53	249	3	3	25%	9%	44	-2.8	172/256/197	26	229	1	0	23%	9%	33	-1.1
✕Connor Justus 2019 · AA	24	39→37	38→40	42→45	46	187/272/266	79	264	6	8	29%	8%	56	-1.9	176/250/244	68	255	4	8	30%	7%	42	-2.9	151/222/201	49	225	2	6	31%	6%	20	-2.7
✕Bryant Flete 2017 · AA	24	42→45	39→40	47→50	44	202/258/288	86	263	6	6	25%	6%	55	-2.0	213/269/293	80	287	6	6	26%	6%	60	-1.6	212/271/281	70	288	5	4	27%	6%	56	-1.0
✕Carlos Sepulveda 2021 · A	24	45	34→30	49→45	47	210/273/263	53	280	2	12	24%	8%	55	-2.0	210/278/281	71	273	4	7	23%	8%	61	-1.5	191/263/253	62	247	4	3	23%	8%	46	-1.3
✕Ryan Hissey 2018 · A	24	41→39	38→40	48→40	40	199/251/278	79	279	6	5	30%	6%	49	-2.4	204/255/295	91	287	9	7	30%	6%	55	-1.9	164/195/231	67	215	8	0	28%	4%	14	-1.0
✕Jacob Wetzel 2024 · A	24	38→34	41→45	50	44	185/262/277	92	271	8	12	33%	8%	55	-2.0	199/275/320	121	288	9	14	31%	9%	69	-0.9	196/279/346	150	275	11	17	30%	10%	75	-0.3

Chase Meggers

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps