Enrique Jimenez — OGILVIE

Enrique JimenezC Cedar Rapids Kernels

Age 20 S/R 5'9" / 170 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION174 act + 25 ros · stats below = ROS only

showingROS

wRC+†69

AVG/OBP/SLG.182 / .280 / .364

PA25

HR0

K%32

BB%12

BABIP236

ISO182

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$26M ctrl surplus

Tools · ContractCON 40 / POW 47

Toolsscout grade

CONTACT40

scouting grade only

POWER47

scouting grade only

EYE62

scouting grade only

SPEED34

scouting grade only

DEFENSE44

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Arb-1	$3M	+0.8	$2M	+$0.3M
2034	Arb-2	$5M	+0.7	$2M	+$0.0M (cut)
2035	Arb-3	$7M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$11M	+$5M

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. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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	17	ROK	DSL Tigers 1	—	170	141	39	11	3	1	24	30	3	3	2	277	393	418	811	142	339	18	14	363	132	+6	-0	—	—	+4	1.0
2024	18	ROK	FCL Tigers	—	183	149	36	9	1	3	28	44	3	5	2	242	372	376	748	134	314	24	15	339	115	+3	+0	—	—	+4	0.8
2025	19	A	Fort Myers Mighty Mussels	—	102	78	21	2	1	6	23	24	0	1	0	269	436	551	987	282	306	24	23	427	175	+9	+0	—	—	+2	1.2
2025	19	ROK	FCL Tigers	—	192	168	42	10	2	6	23	42	0	4	1	250	340	440	781	190	298	22	12	345	120	+5	+0	—	—	+4	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tigers 1	—	170	152	31	9	2	1	13	43	3	3	2	204	280	309	589	105	265	25	8	263	64	-7	-0	—	—	+4	-0.4
2024	18	ROK MLE	FCL Tigers	—	183	160	29	7	1	2	17	64	3	5	2	181	272	275	547	94	262	35	9	244	51	-11	+0	—	—	+4	-0.7
2025	19	A MLE	Fort Myers Mighty Mussels	—	102	85	19	2	1	6	16	34	0	1	0	224	347	482	829	259	259	33	16	339	116	+2	+0	—	—	+2	0.4
2025	19	ROK MLE	FCL Tigers	—	192	177	31	7	1	5	14	60	0	4	1	175	236	311	546	136	231	31	7	242	50	-11	+0	—	—	+4	-0.7
2023	17	ROK MLE	DSL Tigers 1	—	170	152	31	9	2	1	13	43	3	3	2	204	280	309	589	105	273	25	8	263	64	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tigers 1	—	170	141	39	11	3	1	24	30	3	3	2	277	393	418	811	142	339	18	14	363	64	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	183	160	29	7	1	2	17	64	3	5	2	181	272	275	547	94	278	35	9	244	51	—	—	—	—	—	—
2024	18	ROK RAW	FCL Tigers	—	183	149	36	9	1	3	28	44	3	5	2	242	372	376	748	134	314	24	15	339	51	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	294	261	49	8	2	11	31	95	0	5	1	188	274	360	634	172	242	32	11	276	73	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	294	246	63	12	3	12	46	66	0	5	1	256	373	476	849	220	300	22	16	374	73	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 1	—	170	152	31	9	2	1	13	43	3	3	2	204	280	309	589	105	265	25	8	263	64	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	183	161	29	7	1	2	17	64	3	5	2	180	272	273	546	93	262	35	9	244	51	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	294	261	49	8	2	11	31	95	0	5	1	188	274	360	634	172	241	32	11	276	73	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Tigers 1	—	170	152	31	9	2	1	13	43	3	3	2	204	280	309	589	105	265	25	8	263	64	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	183	161	29	7	1	2	17	64	3	5	2	180	272	273	546	93	262	35	9	244	51	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	294	261	49	8	2	11	31	95	0	5	1	188	274	360	634	172	241	32	11	276	73	—	—	—	—	—	—
YTD	20	A+ MLE	MIN	—	174	147	28	4	0	5	26	55	0	0	1	190	312	320	632	129	261	32	15	286	79	-4	-0	+0	+3	+4	0.2
▸ 2026 season
YTD	20	ROK RAW	MIN	—	19	14	4	1	0	0	5	3	0	0	0	286	474	357	831	71	364	16	26	394	79	—	—	—	—	—	—
YTD	20	A RAW	MIN	—	49	35	11	1	0	2	13	8	0	0	1	314	500	514	1.014	200	346	16	27	444	79	—	—	—	—	—	—
YTD	20	A+ RAW	MIN	—	106	88	18	3	0	4	18	29	0	0	0	205	340	375	715	170	255	27	17	327	79	—	—	—	—	—	—
ROS	20	A+ MLE	MIN	0%	25	22	4	1	0	1	3	8	0	0	0	182	280	364	644	182	236	32	12	270	69	-1	+0	-0	+0	+1	0.0
TOT	20	A+ MLE	MIN	—	199	169	32	5	0	6	29	63	0	0	1	189	308	325	634	136	257	32	15	284	78	-5	-0	-0	+4	+4	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIN	35%	349	305	57	10	1	10	39	101	2	3	1	187	283	325	608	138	244	29	11	281	76	-10	+0	-0	+6	+8	0.4
2028	22	MLB MLE	MIN	49%	439	385	76	14	2	13	49	123	2	3	1	197	291	345	637	148	249	28	11	289	82	-10	+0	-0	+8	+10	0.8
2029	23	MLB MLE	MIN	54%	497	436	88	16	2	16	55	136	3	4	2	202	296	358	653	156	252	27	11	294	85	-9	+0	-0	+9	+11	1.1
2030	24	MLB MLE	MIN	55%	520	454	93	17	2	17	58	141	3	4	2	205	299	363	662	159	254	27	11	297	87	-8	+0	-0	+9	+11	1.3
2031	25	MLB MLE	MIN	56%	520	454	93	17	2	17	58	141	3	4	2	205	299	363	662	159	254	27	11	299	88	-7	+0	-0	+9	+11	1.3
2032	26	MLB MLE	MIN	56%	520	454	93	17	2	17	58	141	3	4	2	205	299	363	662	159	254	27	11	299	89	-7	+0	-0	+9	+11	1.4
2033	27	MLB MLE	MIN	55%	520	453	93	17	2	17	59	141	3	4	2	205	301	364	665	159	254	27	11	299	89	-7	+0	-0	+9	+11	1.4
2034	28	MLB MLE	MIN	55%	520	453	93	17	2	17	59	142	3	4	2	205	301	364	665	159	253	27	11	298	88	-7	+0	-1	+9	+11	1.2
2035	29	MLB MLE	MIN	53%	520	452	92	16	2	17	60	143	3	4	2	204	301	361	662	157	252	28	12	297	87	-8	+0	-2	+9	+11	1.1
2036	30	MLB MLE	MIN	53%	520	452	90	16	2	16	60	144	3	3	1	199	297	350	647	150	250	28	12	294	85	-9	+0	-2	+9	+11	0.9
2037	31	MLB MLE	MIN	52%	504	438	86	15	2	15	58	141	3	3	1	196	295	342	637	146	248	28	12	290	82	-11	+0	-3	+9	+11	0.7
2038	32	MLB MLE	MIN	52%	483	422	81	14	2	14	55	137	3	2	1	192	290	334	624	142	244	28	11	284	79	-12	+0	-4	+9	+10	0.3
2039	33	MLB MLE	MIN	56%	440	385	71	12	1	12	50	127	2	2	1	184	281	314	596	130	240	29	11	278	74	-14	+0	-4	+8	+10	-0.1
2027	21	MLB CTX	MIN	35%	121	105	21	4	0	4	14	35	1	1	0	200	300	352	652	152	244	29	12	278	76	-3	+0	-0	+2	+3	0.2
2028	22	MLB CTX	MIN	49%	213	186	37	7	1	6	24	60	1	2	1	199	294	344	638	145	249	28	11	285	82	-5	+0	-0	+4	+5	0.4
2029	23	MLB CTX	MIN	54%	270	236	49	9	1	9	30	74	2	2	1	208	302	369	671	161	252	27	11	290	85	-5	+0	-0	+5	+6	0.6
2030	24	MLB CTX	MIN	55%	288	252	51	9	1	9	32	78	2	2	1	202	297	353	650	151	254	27	11	293	87	-4	+0	-0	+5	+6	0.7
2031	25	MLB CTX	MIN	56%	291	254	52	9	1	10	33	79	2	2	1	205	301	366	667	161	254	27	11	295	88	-4	+0	-0	+5	+6	0.7
2032	26	MLB CTX	MIN	56%	293	256	52	9	1	10	33	79	2	2	1	203	299	363	662	160	254	27	11	295	89	-4	+0	-0	+5	+6	0.8
2033	27	MLB CTX	MIN	55%	288	251	51	9	1	9	33	78	2	2	1	203	301	355	655	151	254	27	11	295	89	-4	+0	-0	+5	+6	0.8
2034	28	MLB CTX	MIN	55%	285	248	50	9	1	9	33	78	2	2	1	202	300	355	655	153	253	27	12	294	88	-4	+0	-1	+5	+6	0.7
2035	29	MLB CTX	MIN	53%	278	242	49	9	1	9	32	76	2	2	1	202	301	360	660	157	252	27	12	292	87	-4	+0	-1	+5	+6	0.6
2036	30	MLB CTX	MIN	53%	274	239	49	9	1	9	31	76	2	2	1	205	301	364	665	159	251	28	11	290	85	-5	+0	-1	+5	+6	0.5
2037	31	MLB CTX	MIN	52%	263	229	45	8	1	8	30	74	2	1	1	197	295	345	640	148	248	28	11	286	82	-6	-0	-2	+5	+6	0.3
2038	32	MLB CTX	MIN	52%	250	218	41	7	1	7	29	71	1	1	0	188	286	326	612	138	245	28	12	280	79	-6	+0	-2	+4	+5	0.2
2039	33	MLB CTX	MIN	56%	246	215	41	7	1	7	28	71	1	1	0	191	287	330	617	140	240	29	11	274	74	-8	+0	-2	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3360	2931	588	105	12	106	382	929	22	22	10	201	297	353	651	153	252	28	11	289	82	-62	+0	-9	+60	+73	6.3
/ 162G	—	A+C		—	650	567	114	20	2	21	74	180	4	4	2	201	298	354	652	153	252	28	11	289	82	-12	+0	-2	+12	+14	1.2
Career	—	MLE		—	7024	6138	1219	223	29	213	782	1968	42	57	25	199	293	348	642	150	252	28	11	290	82	-120	+1	-18	+114	+138	11.8
/ 162G	—	MLE		—	650	568	114	21	3	20	72	182	4	5	2	201	295	354	649	153	254	28	11	290	82	-12	+0	-2	+12	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,361	105	23	201	294	354	+60	-15	9.2	7.8
/162	664	21	5	+11.9	-2.9	1.8	pk7: 6
#6J.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

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
Enrique Jimenez (OGILVIE)	20	40	47	34	62	178/275/310	132	236	8	2	30%	11%	69	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rudy van Heydoorn 2009 · A	20	39	43→45	42→50	48	193/294/300	106	278	11	10	32%	10%	73	-0.6	183/264/287	104	286	10	6	37%	8%	58	-1.7	153/236/254	101	237	11	2	38%	9%	40	-0.9
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Yaniery Guzman 2018 · A	20	45	42→55	44→40	46	220/278/324	104	272	9	4	22%	7%	71	-0.8	218/263/334	116	294	10	4	28%	6%	67	-1.1	238/276/393	155	286	15	3	22%	5%	85	+0.1
✕Leo Bernal 2023 · A	19	40→48	48→45	46→50	42	208/260/349	141	255	16	5	26%	6%	70	-0.8	218/288/325	107	289	10	7	26%	8%	75	-0.5	223/286/345	121	279	14	10	24%	8%	76	-0.3
✕Juan Brito 2022 · A	20	45→48	42→50	47→45	46	221/286/323	102	285	10	12	26%	8%	74	-0.6	228/311/363	135	276	12	9	21%	10%	93	+0.8	222/308/359	137	264	13	9	20%	10%	88	+0.4
✕Thayron Liranzo 2023 · A	20	39→42	47→50	48→30	42	199/269/337	138	287	14	5	34%	8%	71	-0.8	207/294/369	162	306	19	2	36%	11%	88	+0.4	193/285/346	152	284	18	1	36%	11%	76	-0.3
✕Dom Nuñez 2015 · A	20	40→45	44→50	41→45	44	200/248/312	113	239	12	9	22%	6%	57	-1.8	208/271/319	111	254	13	7	23%	7%	67	-1.1	176/262/320	144	228	18	5	31%	10%	62	-0.7
✕Jose Herrera 2017 · A	20	44	40	43→40	45	213/273/300	87	275	8	4	25%	7%	63	-1.3	200/256/282	82	256	5	3	23%	7%	52	-2.2	210/292/298	88	277	8	3	26%	10%	69	-0.5
✕Leopoldo Correa 2012 · A	20	45	41→45	40→30	48	219/282/321	102	260	9	2	19%	7%	72	-0.7	208/263/288	80	271	5	4	24%	6%	56	-1.9	185/234/237	52	251	2	1	26%	5%	30	-0.9
✕Shed Long Jr. 2016 · A	20	43→49	42→50	44→50	43	213/265/317	104	278	10	6	27%	6%	64	-1.3	231/290/362	131	316	13	11	29%	7%	84	+0.1	234/295/378	144	313	15	11	29%	7%	86	+0.3
✕John Whittleman 2008 · A	21	41→43	44→50	42→45	48	204/276/324	121	273	11	5	29%	9%	70	-0.8	200/281/314	114	274	10	3	28%	10%	70	-0.8	174/260/322	148	233	18	1	32%	10%	63	-1.0
●Moisés Ballesteros 2023 · A	19	42→52	47→50	45→40	47	215/281/345	130	270	15	5	26%	8%	77	-0.3	241/299/370	129	293	14	4	22%	7%	89	+0.5	255/314/382	127	304	14	3	20%	7%	96	+0.9
✕Daniel Robertson 2014 · A	20	46→54	42→45	37→40	45	224/284/332	108	283	10	3	24%	7%	75	-0.5	242/309/351	109	303	9	3	22%	7%	88	+0.5	232/336/343	111	304	11	4	25%	11%	96	+0.6
✕Max Moroff 2014 · A	21	42→52	40→45	43→50	47	204/271/293	89	271	8	8	27%	8%	61	-1.5	218/282/307	89	311	5	12	29%	8%	68	-1.0	228/307/343	115	304	11	10	27%	10%	84	+0.1
✕Sherten Apostel 2019 · A	20	39→34	46→50	44→40	49	197/287/326	129	280	14	5	33%	10%	76	-0.4	197/264/321	124	290	14	3	35%	8%	65	-1.2	187/252/312	125	273	16	1	36%	7%	56	-1.2
✕Amadeo Zazueta 2006 · A	20	45→55	45	40→50	44	223/268/355	132	261	12	5	20%	6%	74	-0.5	209/254/322	113	255	10	5	22%	5%	61	-1.5	285/316/376	91	312	6	10	10%	3%	93	+0.6
✕Miguel Amaya 2019 · A	20	43→41	43→50	48→40	44	212/277/322	110	267	11	4	25%	6%	70	-0.8	210/288/334	124	267	13	4	25%	8%	78	-0.3	212/319/354	142	290	16	3	30%	10%	93	+0.3
●Jose Miranda 2018 · A	20	41→51	44→50	41→40	43	207/254/319	112	234	13	5	19%	5%	61	-1.5	218/263/324	106	250	10	2	17%	4%	65	-1.2	262/312/401	139	296	17	2	17%	5%	99	+1.0
✕Matthew Sweeney 2009 · A	21	43→40	48→50	44→45	42	221/269/364	143	270	15	6	24%	5%	76	-0.4	205/265/329	124	283	12	4	30%	7%	68	-1.0	177/245/292	115	250	11	2	33%	7%	49	-1.2
✕John Ryan Murphy 2011 · A	20	44→46	42→50	42→40	45	217/271/322	104	268	10	5	23%	6%	68	-1.0	221/264/331	110	266	10	4	20%	5%	67	-1.1	232/282/341	109	288	11	0	23%	6%	74	-0.3

Career Stats + Projections

Career Comps

Career Path Comps