Antonio Jimenez — OGILVIE

Antonio JimenezSS Brooklyn Cyclones

Age 22 R/R 6'1" / 200 lbs A+ H -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION409 act + 10 ros · stats below = ROS only

showingROS

wRC+†52

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP244

ISO102

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 39 / POW 52

Toolsscout grade

CONTACT39

scouting grade only

POWER52

scouting grade only

EYE35

scouting grade only

SPEED47

scouting grade only

DEFENSE51

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
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.2M	—	—	—
2033	Arb-2	$5M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$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)
2025	21	A	St. Lucie Mets	—	110	95	25	1	0	0	12	15	1	8	3	263	352	274	626	11	305	14	11	292	84	-2	+0	—	—	+2	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	St. Lucie Mets	—	110	98	23	1	0	0	9	20	1	8	3	235	306	245	550	10	285	18	8	260	62	-5	+0	—	—	+2	-0.2
2025	21	A MLE	St. Lucie Mets	—	110	98	23	1	0	0	9	20	1	8	3	235	306	245	550	10	287	18	8	260	62	—	—	—	—	—	—
2025	21	A RAW	St. Lucie Mets	—	110	95	25	1	0	0	12	15	1	8	3	263	352	274	626	11	305	14	11	292	62	—	—	—	—	—	—
2025	21	A MLE	St. Lucie Mets	—	110	99	23	1	0	0	9	20	1	8	3	232	306	242	548	10	285	18	8	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	St. Lucie Mets	—	110	99	23	1	0	0	9	20	1	8	3	232	306	242	548	10	285	18	8	260	62	—	—	—	—	—	—
YTD	22	A+ MLE	NYM	—	409	363	57	11	2	8	32	154	11	23	11	157	246	264	511	107	240	38	8	228	40	-29	+0	+0	+4	+9	-1.6
▸ 2026 season
YTD	22	A RAW	NYM	—	193	162	40	9	0	6	22	50	7	15	7	247	361	414	775	167	315	26	11	348	40	—	—	—	—	—	—
YTD	22	A+ RAW	NYM	—	216	187	30	5	2	4	24	62	4	8	4	160	270	273	542	112	213	29	11	254	40	—	—	—	—	—	—
ROS	22	A+ MLE	NYM	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		251	30	10	245	52	-1	+0	-0	+0	+0	-0.0
TOT	22	A+ MLE	NYM	—	419	372	58	11	2	8	33	157	11	23	11	156	245	261	506	105	238	37	8	228	41	-30	+0	-0	+4	+9	-1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	NYM	35%	341	306	57	11	1	8	26	110	6	9	4	186	263	307	571	121	255	32	8	258	61	-16	+0	-2	+4	+7	-0.7
2028	24	MLB MLE	NYM	46%	413	370	71	13	2	10	33	129	7	11	5	192	271	319	590	127	260	31	8	268	68	-16	+0	-2	+4	+9	-0.5
2029	25	MLB MLE	NYM	52%	443	398	77	14	2	12	35	136	7	12	5	193	270	329	600	136	262	31	8	275	72	-15	+0	-2	+5	+10	-0.2
2030	26	MLB MLE	NYM	54%	461	413	82	15	2	13	37	141	8	13	5	199	277	339	616	140	263	31	8	278	74	-14	+1	-2	+5	+10	-0.1
2031	27	MLB MLE	NYM	54%	462	413	82	15	2	13	38	141	8	13	5	199	279	339	618	140	262	31	8	278	74	-14	+1	-2	+5	+10	-0.1
2032	28	MLB MLE	NYM	54%	460	411	81	15	2	13	38	141	8	12	5	197	278	338	616	141	262	31	8	277	74	-14	+0	-3	+5	+10	-0.2
2033	29	MLB MLE	NYM	53%	451	403	79	15	2	12	37	140	8	11	5	196	277	333	609	136	261	31	8	276	73	-15	+0	-4	+5	+10	-0.4
2027	23	MLB CTX	NYM	35%	118	106	20	4	1	3	9	38	2	3	1	189	265	330	595	142	249	32	8	241	61	-6	+0	-1	+1	+3	-0.2
2028	24	MLB CTX	NYM	46%	191	171	33	6	1	5	15	60	3	5	2	193	270	327	597	135	253	31	8	251	68	-7	+0	-1	+2	+4	-0.2
2029	25	MLB CTX	NYM	52%	229	205	39	7	1	6	18	70	4	6	3	190	269	322	591	132	255	31	8	258	72	-8	+0	-1	+2	+5	-0.1
2030	26	MLB CTX	NYM	54%	250	224	43	8	1	7	20	76	4	7	3	192	270	330	601	138	256	30	8	261	74	-8	+0	-1	+3	+5	-0.1
2031	27	MLB CTX	NYM	54%	251	225	43	8	1	7	20	77	4	7	3	191	269	329	598	138	255	31	8	262	74	-8	+0	-1	+3	+5	-0.1
2032	28	MLB CTX	NYM	54%	250	223	43	8	1	7	21	77	4	7	3	193	274	332	606	139	255	31	8	261	74	-8	+0	-2	+3	+5	-0.1
2033	29	MLB CTX	NYM	53%	239	213	41	7	1	7	20	74	4	6	2	192	274	333	608	141	254	31	8	259	73	-8	+0	-2	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1528	1367	262	48	7	42	123	472	25	41	17	192	271	329	600	138	256	31	8	258	71	-51	+1	-9	+16	+33	-1.0
/ 162G	—	A+C		—	650	582	111	20	3	18	52	201	11	17	7	191	270	328	598	137	254	31	8	258	71	-22	+1	-4	+7	+14	-0.4
Career	—	MLE		—	3151	2821	553	99	13	81	254	961	53	89	37	196	275	326	601	130	263	30	8	273	71	-105	+3	-18	+33	+66	-2.2
/ 162G	—	MLE		—	650	582	114	20	3	17	52	198	11	18	8	196	274	328	602	132	262	30	8	273	71	-22	+1	-4	+7	+14	-0.5

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
#2J.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
#3Adam 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
#4Ryan 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 3 projected seasons	2.3	1,529	41	41	196	273	334	+16	+1	0.9	0.9
/162	664	18	18	+7.1	+0.5	0.4	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#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
Antonio Jimenez (OGILVIE)	22	30→39	40→52	40→47	35	173/251/276	104	251	4	8	34%	8%	52	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Steven Baron 2013 · A	22	39	41→45	50	37	193/231/293	99	262	8	10	29%	4%	45	-2.7	197/236/286	89	278	6	9	30%	5%	45	-2.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Luke Williams 2019 · A	22	40→44	38→45	50→65	41	197/248/266	70	256	6	15	25%	5%	46	-2.6	206/264/300	94	275	7	19	26%	7%	60	-1.6	222/284/339	116	307	11	42	29%	7%	74	-0.3
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Jiandido Tromp 2016 · A	22	36→46	42→50	49→45	33	183/223/290	107	271	10	8	36%	4%	42	-2.9	213/254/353	140	283	14	9	29%	5%	68	-1.0	214/259/354	140	279	14	8	28%	5%	68	-0.8
✕Zach Green 2016 · A	22	42	40→55	49→40	39	208/248/301	93	281	8	6	28%	5%	53	-2.1	203/258/334	131	317	14	3	39%	5%	66	-1.1	194/261/373	179	295	22	1	40%	7%	74	-0.3
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Tyler Kolodny 2010 · A	22	40→36	43→45	49→50	41	200/271/316	116	273	11	8	30%	6%	67	-1.1	208/282/338	130	278	13	10	29%	6%	76	-0.4	207/287/352	145	264	16	10	27%	6%	79	-0.1
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Jack Brannigan 2023 · A	22	42	43→50	48→50	43	204/282/312	108	305	11	13	34%	8%	70	-0.8	201/283/352	151	301	18	17	37%	9%	80	-0.1	184/270/336	152	267	19	18	36%	9%	69	-0.5
✕Jonathan Ornelas 2022 · A	22	42→52	41→45	48→50	38	208/254/308	100	283	9	9	29%	5%	57	-1.8	235/289/328	93	322	9	12	28%	6%	76	-0.4	235/295/316	82	324	8	12	28%	7%	72	-0.6
✕Kevin Smith 2018 · A	22	39→45	44→55	53→50	34	197/234/315	118	286	11	8	35%	4%	51	-2.2	206/249/353	147	289	17	13	34%	5%	67	-1.1	202/253/359	157	273	20	15	33%	6%	68	-0.7
✕Max George 2018 · A	22	39→38	42→45	50→55	44	192/267/299	107	251	9	15	27%	7%	61	-1.5	187/269/294	107	260	10	20	30%	7%	62	-1.4	144/249/271	127	213	15	25	38%	9%	48	-1.2
✕Jeudy Valdez 2011 · A	22	39→45	40→50	50→55	39	193/239/290	97	261	8	17	29%	5%	48	-2.5	211/248/336	125	280	12	17	29%	4%	62	-1.4	211/247/343	132	277	13	17	28%	3%	61	-1.3
✕Adam Abraham 2009 · A	22	39→46	44→50	49→40	43	197/259/310	113	258	12	5	28%	7%	61	-1.5	217/273/330	113	277	10	4	24%	6%	70	-0.8	220/280/334	115	276	11	2	23%	7%	72	-0.3
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Ryan Bliss 2023 · A	23	35→45	44→45	52→60	39	184/241/293	109	256	12	21	32%	6%	50	-2.3	221/288/352	131	295	12	39	28%	8%	81	-0.1	221/289/349	127	292	11	41	26%	7%	78	-0.2
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Christopher Bostick 2015 · A	22	42→52	44→45	52→55	40	208/261/328	120	289	10	15	31%	6%	65	-1.2	221/268/329	108	291	8	14	26%	5%	68	-1.0	235/286/338	103	306	8	7	25%	5%	73	-0.5

Career Stats + Projections

Career Comps

Career Path Comps