Jonathan Mejía — OGILVIE

Jonathan MejíaSS Palm Beach Cardinals

Age 21 S/R 6'0" / 185 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION321 act + 9 ros · stats below = ROS only

showingROS

wRC+†55

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP236

ISO98

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 20 / POW 35

Toolsscout grade

CONTACT20

scouting grade only

POWER35

scouting grade only

EYE55

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
2026	MiLB	still in minors · estimated debut 2031
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	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-1	$0.8M	—	—	—
2035	Arb-2	$0.7M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.6M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2022	17	ROK	DSL Cardinals	—	208	165	44	14	3	5	33	48	10	3	2	267	418	479	897	212	348	23	16	401	158	+14	-0	—	—	+5	1.9
2023	18	A	Palm Beach Cardinals	—	33	28	3	1	0	0	4	10	1	1	0	107	242	143	385	36	167	30	12	201	22	-3	+0	—	—	+1	-0.2
2023	18	ROK	FCL Cardinals	—	131	104	18	0	3	2	24	37	1	7	1	173	331	288	619	115	242	28	18	292	84	-3	+1	—	—	+3	0.1
2024	19	ROK	FCL Cardinals	—	205	174	52	9	2	3	25	52	4	18	4	299	399	425	824	126	405	25	12	370	136	+9	+2	—	—	+4	1.6
2025	20	A	Palm Beach Cardinals	—	324	273	50	4	6	6	46	106	2	18	4	183	305	308	613	125	270	33	14	283	78	-9	+2	—	—	+7	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Cardinals	—	208	177	32	10	2	4	21	70	10	3	2	181	303	328	631	147	261	34	10	269	68	-8	-0	—	—	+5	-0.4
2023	18	A MLE	Palm Beach Cardinals	—	33	29	2	1	0	0	3	15	1	1	0	69	182	103	285	34	155	45	9	150	-12	-4	+0	—	—	+1	-0.4
2023	18	ROK MLE	FCL Cardinals	—	131	114	12	0	2	1	15	53	1	7	1	105	215	167	382	61	183	40	11	192	16	-13	+1	—	—	+3	-0.9
2024	19	ROK MLE	FCL Cardinals	—	205	184	38	6	1	2	15	74	4	18	4	207	281	283	563	76	316	36	7	254	58	-10	+2	—	—	+4	-0.4
2025	20	A MLE	Palm Beach Cardinals	—	324	285	40	4	5	4	34	151	2	18	4	140	237	232	468	91	260	47	10	216	32	-26	+2	—	—	+7	-1.7
2022	17	ROK MLE	DSL Cardinals	—	208	177	32	10	2	4	21	70	10	3	2	181	303	328	631	147	272	34	10	269	68	—	—	—	—	—	—
2022	17	ROK RAW	DSL Cardinals	—	208	165	44	14	3	5	33	48	10	3	2	267	418	479	897	212	348	23	16	401	68	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	164	143	15	1	2	1	18	68	2	8	1	105	215	161	376	56	187	41	11	184	10	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	164	132	21	1	3	2	28	47	2	8	1	159	313	258	570	98	226	29	17	274	10	—	—	—	—	—	—
2024	19	ROK MLE	FCL Cardinals	—	205	184	38	6	1	2	15	74	4	18	4	207	281	283	563	76	327	36	7	254	58	—	—	—	—	—	—
2024	19	ROK RAW	FCL Cardinals	—	205	174	52	9	2	3	25	52	4	18	4	299	399	425	824	126	405	25	12	370	58	—	—	—	—	—	—
2025	20	A MLE	Palm Beach Cardinals	—	324	285	40	4	5	4	34	151	2	18	4	140	237	232	468	91	273	47	10	216	32	—	—	—	—	—	—
2025	20	A RAW	Palm Beach Cardinals	—	324	273	50	4	6	6	46	106	2	18	4	183	305	308	613	125	270	33	14	283	32	—	—	—	—	—	—
2022	17	ROK MLE	DSL Cardinals	—	208	175	32	10	2	4	21	70	10	3	2	183	303	331	634	149	261	34	10	269	68	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	164	143	15	1	2	1	18	68	2	8	1	105	215	161	376	56	177	41	11	184	10	—	—	—	—	—	—
2024	19	ROK MLE	FCL Cardinals	—	205	184	38	6	1	2	15	74	4	18	4	207	281	283	563	76	316	36	7	254	58	—	—	—	—	—	—
2025	20	A MLE	Palm Beach Cardinals	—	324	285	40	4	5	4	34	151	2	18	4	140	237	232	468	91	260	47	10	216	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	2 teams	—	164	143	15	1	2	1	18	68	2	8	1	105	215	161	376	56	177	41	11	184	10	—	—	—	—	—	—
2024	19	ROK MLE	FCL Cardinals	—	205	184	38	6	1	2	15	74	4	18	4	207	281	283	563	76	316	36	7	254	58	—	—	—	—	—	—
2025	20	A MLE	Palm Beach Cardinals	—	324	285	40	4	5	4	34	151	2	18	4	140	237	232	468	91	260	47	10	216	32	—	—	—	—	—	—
YTD	21	A MLE	STL	—	321	270	44	8	2	9	44	125	3	9	6	163	287	307	594	144	250	39	14	275	72	-11	-1	+0	+3	+7	-0.1
▸ 2026 season
YTD	21	A RAW	STL	—	321	255	56	10	3	12	59	88	3	9	6	220	372	424	796	204	277	27	18	355	72	—	—	—	—	—	—
ROS	21	A MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		237	33	11	249	55	-0	+0	+0	+0	+0	-0.0
TOT	21	A MLE	STL	—	330	278	45	8	2	9	45	128	3	9	6	162	285	302	587	140	248	39	14	274	72	-11	-1	+0	+4	+7	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	STL	34%	386	333	55	9	3	9	46	140	4	8	3	165	274	291	565	126	247	36	12	262	64	-17	+0	+0	+4	+8	-0.4
2028	23	MLB MLE	STL	48%	453	393	69	12	3	12	53	158	4	10	4	176	280	313	593	137	252	35	12	271	70	-16	+0	+0	+5	+10	-0.1
2029	24	MLB MLE	STL	53%	497	431	77	13	3	13	58	169	5	11	4	179	283	313	597	135	255	34	12	277	74	-16	+1	+0	+5	+11	0.1
2030	25	MLB MLE	STL	55%	521	450	83	14	4	14	61	174	5	11	4	184	289	327	615	142	257	33	12	280	76	-15	+1	+0	+6	+11	0.3
2031	26	MLB MLE	STL	56%	533	460	85	14	4	15	63	178	5	11	5	185	290	330	620	146	257	33	12	281	77	-15	+0	+0	+6	+12	0.3
2032	27	MLB MLE	STL	55%	536	462	85	14	4	15	64	180	5	11	5	184	290	329	619	145	256	34	12	282	77	-15	+0	+0	+6	+12	0.3
2033	28	MLB MLE	STL	55%	534	460	84	14	4	15	64	180	5	11	4	183	289	328	617	146	256	34	12	281	76	-15	+1	-1	+6	+12	0.2
2034	29	MLB MLE	STL	58%	525	452	81	14	3	14	63	178	5	10	4	179	287	316	603	137	255	34	12	279	75	-16	+0	-1	+6	+11	0.0
2035	30	MLB MLE	STL	60%	515	443	79	13	3	14	62	176	5	9	4	178	286	316	602	138	254	34	12	276	73	-16	+0	-2	+6	+11	-0.2
2027	22	MLB CTX	STL	34%	133	115	19	3	1	3	16	48	1	3	1	165	273	287	560	122	246	36	12	252	64	-6	+0	+0	+1	+3	-0.1
2028	23	MLB CTX	STL	48%	219	189	33	6	2	5	26	76	2	5	2	175	281	307	588	132	251	35	12	260	70	-8	+0	+0	+2	+5	-0.1
2029	24	MLB CTX	STL	53%	262	226	41	7	2	7	31	89	3	6	2	181	288	323	611	142	254	34	12	266	74	-8	+0	+0	+3	+6	0.1
2030	25	MLB CTX	STL	55%	285	247	45	8	2	7	33	95	3	6	2	182	286	316	602	134	256	33	12	269	76	-8	+0	+0	+3	+6	0.1
2031	26	MLB CTX	STL	56%	297	257	47	8	2	8	35	99	3	6	3	183	288	323	611	140	255	33	12	270	77	-8	+0	+0	+3	+6	0.1
2032	27	MLB CTX	STL	55%	295	255	47	8	2	8	35	99	3	6	3	184	290	325	616	141	255	34	12	270	77	-8	+0	+0	+3	+6	0.1
2033	28	MLB CTX	STL	55%	292	252	46	8	2	8	35	98	3	6	2	183	290	325	615	143	255	34	12	269	76	-8	+0	-0	+3	+6	0.1
2034	29	MLB CTX	STL	58%	304	261	47	8	2	8	37	103	3	6	2	180	289	318	607	138	254	34	12	268	75	-9	+0	-1	+3	+7	0.0
2035	30	MLB CTX	STL	60%	310	267	48	8	2	8	37	106	3	5	2	180	287	315	601	135	253	34	12	265	73	-10	+0	-1	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2397	2069	373	64	17	62	285	813	24	49	19	180	287	318	604	137	258	34	12	267	69	-74	+2	-2	+26	+52	0.4
/ 162G	—	A+C		—	650	561	101	17	5	17	77	220	7	13	5	180	287	319	606	139	257	34	12	267	69	-20	+1	-1	+7	+14	0.1
Career	—	MLE		—	5410	4681	824	138	41	132	623	1899	61	139	48	176	281	308	589	132	258	35	12	269	69	-141	+4	-4	+48	+98	0.5
/ 162G	—	MLE		—	650	562	100	17	5	16	75	228	7	17	6	178	282	311	594	133	262	35	12	269	69	-20	+1	-1	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#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
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.1	2,716	71	57	178	280	314	+29	+18	1.2	1.6
/162	664	17	14	+7.1	+4.4	0.3	pk7: 2
#6Alexi 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

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
Jonathan Mejía (OGILVIE)	21	20	35	55	55	153/262/267	115	237	7	9	38%	12%	55	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/260	96	258	8	24	35%	14%	66	-1.1	190/306/293	103	293	8	20	33%	12%	76	-0.4	190/308/293	103	292	8	21	33%	12%	74	-0.3
✕Brenny Escanio 2023 · A	20	37→36	41→40	52→55	47	181/270/284	103	266	8	16	33%	10%	60	-1.6	181/257/248	67	296	3	15	36%	9%	46	-2.6	169/248/225	55	281	3	17	37%	9%	35	-1.8
✕C.J. Beatty 2010 · A	21	40	42→45	52→40	41	198/253/297	98	278	9	9	31%	7%	55	-2.0	209/270/324	115	297	9	5	31%	7%	68	-1.0	202/267/332	130	282	11	2	30%	8%	65	-0.7
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Cole Roederer 2021 · A	21	38→32	43→45	51→50	42	190/258/298	108	281	10	12	34%	8%	57	-1.8	205/269/314	109	303	11	12	34%	7%	65	-1.2	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕Oliver Dominguez 2010 · A	21	41	40	53→45	45	201/262/294	93	269	7	12	27%	7%	57	-1.8	201/272/295	94	275	7	13	27%	9%	62	-1.4	190/268/285	94	265	7	12	29%	9%	55	-0.9
✕Luis García 2022 · A	21	37	43→40	48→45	44	188/260/296	108	271	11	10	33%	8%	58	-1.7	179/271/274	95	281	9	9	36%	10%	58	-1.7	125/241/188	63	203	7	8	38%	11%	27	-1.3
✕Luis Alexander Basabe 2018 · A	21	40→43	41→45	54→50	38	196/250/295	99	290	8	15	34%	6%	53	-2.1	202/265/306	104	313	9	14	36%	8%	61	-1.5	196/266/304	108	307	10	14	37%	8%	59	-0.9
✕Allan Castro 2023 · A	20	38→44	40→45	54→50	40	185/249/285	100	275	6	9	34%	7%	51	-2.2	203/274/314	111	281	9	13	29%	8%	68	-1.0	202/276/313	110	274	9	14	28%	9%	65	-1.0
✕Christian Cairo 2022 · A	21	40→46	40	53→60	46	188/283/278	90	291	7	16	35%	10%	63	-1.3	193/292/274	81	290	6	18	32%	11%	66	-1.1	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Marcus Littlewood 2013 · A	21	40	40→45	48→45	41	198/249/288	90	271	8	7	29%	6%	51	-2.2	198/267/305	107	269	9	5	28%	8%	62	-1.4	204/271/311	107	262	9	4	25%	8%	63	-0.7
✕Alexander Vargas 2023 · A	21	33→40	40→45	49→55	36	169/224/255	86	271	8	19	39%	6%	34	-3.5	181/221/279	98	260	8	18	32%	4%	38	-3.2	180/218/280	99	244	8	21	29%	4%	35	-2.1
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Terry Serrano 2007 · A	20	39	35→30	49→55	46	184/261/240	56	270	2	16	30%	9%	45	-2.7	196/268/257	61	275	3	15	27%	8%	51	-2.2	193/272/251	58	274	2	17	28%	9%	50	-1.0
✕Robert Moore 2023 · A	21	42→41	42→45	50	42	207/271/314	106	290	9	13	31%	7%	66	-1.1	195/258/292	97	257	8	15	26%	7%	57	-1.8	187/253/301	114	224	11	13	22%	7%	55	-1.2
✕Nelson Medina 2022 · A	21	40	38→45	53→50	48	189/275/275	85	275	5	15	31%	10%	59	-1.6	188/260/285	97	334	7	13	42%	8%	55	-1.9	138/202/215	77	286	6	16	50%	7%	15	-1.7
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	44	183/259/238	55	287	2	15	34%	9%	44	-2.8	196/261/262	66	318	2	13	36%	7%	50	-2.3	183/249/232	49	297	0	21	35%	6%	36	-0.8
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Yonki Hernandez 2012 · A	21	41	36→40	53→55	47	189/286/258	68	278	3	17	30%	9%	60	-1.6	197/263/272	75	318	4	18	36%	7%	53	-2.1	179/228/215	36	302	3	27	40%	6%	23	-1.0

Career Stats + Projections

Career Comps

Career Path Comps