Manolfi Jimenez — OGILVIE

Manolfi JimenezOF Clearwater Threshers

Age 21 L/L 6'0" / 190 lbs A HR +11%H +4% Svc 0.0 · Ctrl thru 2036 peak 1.1 · 2031

wRC+†56

AVG/OBP/SLG.227 / .285 / .361

PA253

HR6

K%25

BB%6

MLB%0%

Scouting · now → future

HIT

50→50

PWR

45→45

SPD

40→40

EYE

35↘20

trajectory · 10 yrs

1.2peak

2032

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	+1.1	$10M	+$9M
2032	Pre-Arb	$0.9M	+1.1	$11M	+$10M
2033	Pre-Arb	$1.0M	+1.0	$10M	+$9M
2034	Arb-1	$2M	+0.9	$5M	+$3M
2035	Arb-2	$2M	+0.6	$3M	+$1M
2036	Arb-3	$2M	+0.4	$2M	+$0.2M
Totals		$8M		$40M	+$32M

Career Projections (MLE)

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	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
2022	17	ROK	DSL Phillies White	186	173	32	6	1	2	7	44	2	3	1	.185	.225	.266	.491	.081	.229	24	4	.211	20	-17	+0	+0	-1	+5	-1.3
2023	18	ROK	DSL Phillies White	170	155	28	8	1	1	10	38	2	9	6	.181	.240	.265	.504	.084	.227	22	6	.220	27	-14	-1	+0	-1	+5	-1.1
2024	19	ROK	FCL Phillies	101	94	16	1	0	2	4	30	2	3	3	.170	.220	.245	.465	.074	.222	30	4	.216	24	-9	-1	+0	-1	+3	-0.7
2025	20	ROK	3 teams	307	282	62	14	3	4	11	74	7	5	6	.220	.267	.333	.600	.113	.276	24	4	.260	57	-15	-1	+0	-2	+9	-1.0
▸ 2026 Season (actual · ROS · total)
2026	21	A	Clearwater Threshers	46	44	7	2	0	0	1	20	0	1	0	.159	.178	.205	.382	.045	.280	43	2	.163	-17	-6	+0	+0	-0	+1	-0.5
ROS	21	MLB	PHI	207	190	42	8	1	5	12	56	3	3	1	.221	.278	.353	.631	.132	.285	27	6	.279	72	-7	+0	+0	-1	+6	-0.2
TOT	21	MLB	PHI	253	234	49	10	1	5	13	76	3	4	1	.209	.260	.325	.585	.115	.284	30	5	.258	56	-13	+0	+0	-2	+7	-0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	PHI	316	288	68	13	2	8	21	69	4	5	2	.236	.297	.378	.676	.142	.275	22	7	.296	85	-6	+0	+0	-2	+9	0.2
2028	23	MLB 28%	PHI	401	365	87	17	2	11	28	85	5	6	2	.238	.302	.386	.688	.148	.277	21	7	.304	90	-4	+0	+0	-2	+11	0.5
2029	24	MLB 45%	PHI	458	415	99	19	2	13	34	97	6	7	2	.239	.305	.388	.693	.149	.278	21	7	.309	94	-3	+1	+0	-3	+13	0.8
2030	25	MLB 60%	PHI	489	443	105	20	2	14	37	102	6	7	2	.237	.305	.386	.691	.149	.279	21	8	.312	97	-2	+1	+0	-3	+14	1.0
2031	26	MLB 77%	PHI	507	457	109	21	2	15	39	106	6	7	2	.239	.307	.392	.698	.153	.279	21	8	.314	98	-1	+1	+0	-3	+14	1.1
2032	27	MLB 92%	PHI	513	462	110	21	2	15	40	108	6	7	2	.238	.307	.390	.697	.152	.279	21	8	.314	98	-1	+1	+0	-3	+15	1.1
2033	28	MLB	PHI	512	460	110	21	2	15	41	109	6	6	1	.239	.310	.391	.701	.152	.279	21	8	.313	98	-1	+1	-1	-3	+15	1.0
2034	29	MLB	PHI	505	454	108	21	2	15	40	109	6	6	1	.238	.308	.392	.700	.154	.278	22	8	.311	96	-2	+1	-1	-3	+14	0.9
2035	30	MLB	PHI	496	447	105	20	2	14	40	108	6	5	1	.235	.306	.383	.689	.148	.277	22	8	.308	94	-4	+1	-2	-3	+14	0.6
2036	31	MLB	PHI	483	435	100	19	2	13	39	108	6	4	0	.230	.302	.372	.674	.143	.275	22	8	.304	91	-5	+1	-3	-3	+14	0.4
2037	32	MLB	PHI	465	420	95	18	2	12	37	106	5	3	0	.226	.297	.364	.661	.138	.274	23	8	.299	87	-7	+1	-4	-3	+13	0.1
2038	33	MLB	PHI	436	393	89	17	2	11	35	102	5	3	0	.226	.298	.364	.662	.137	.272	23	8	.294	83	-8	+1	-4	-3	+12	-0.2
2039	34	MLB	PHI	390	352	77	14	2	9	31	95	4	3	0	.219	.289	.347	.636	.128	.271	24	8	.287	78	-10	+1	-5	-2	+11	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			6942	6285	1442	278	32	179	506	1546	87	92	32	.229	.296	.369	.665	.140	.274	22	7	.297	85	-114	+6	-20	-42	+197	2.7
/ 162G	—			650	588	135	26	3	17	47	145	8	9	3	.230	.295	.371	.666	.141	.274	22	7	.297	85	-11	+1	-2	-4	+18	0.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2022	17	ROK	DSL Phillies White	186	167	41	9	1	2	12	28	2	3	1	.246	.302	.347	.650	.102	.277	15	6	.287	78	-5	+0	—	—	+5	0.1
2023	18	ROK	DSL Phillies White	170	150	36	10	1	1	15	25	2	9	6	.240	.317	.340	.657	.100	.276	15	9	.295	84	-3	-1	—	—	+5	0.1
2024	19	ROK	FCL Phillies	101	92	24	2	0	3	6	22	2	3	3	.261	.320	.380	.700	.120	.309	22	6	.313	98	-0	-1	—	—	+3	0.2
2025	20	A	Clearwater Threshers	94	81	19	3	0	0	8	20	3	2	2	.235	.326	.272	.598	.037	.306	21	9	.278	71	-3	-0	—	—	+3	-0.1
2025	20	ROK	FCL Phillies	171	157	48	13	5	4	6	26	4	3	4	.306	.347	.529	.876	.223	.336	15	4	.373	143	+8	-1	—	—	+5	1.2
2025	20	INTL	Adelaide Giants	42	39	11	1	0	2	2	6	0	0	0	.282	.317	.462	.779	.179	.281	14	5	.335	115	+1	+0	—	—	+1	0.2

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
Manolfi Jimenez (OGILVIE)	21	50	45	40	20	.227/.285/.361	.134	.285	6	4	25%	6%	81	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Vierling 2019 · A	22	46→55	47→50	44→50	39	.231/.274/.365	.134	.292	14	9	26%	4%	76	+0.1	.206/.259/.305	.099	.275	9	14	27%	5%	54	-1.4	.252/.313/.388	.135	.304	13	10	21%	7%	95	+1.2
●Ryan McMahon 2016 · A	21	45→55	50→55	39→45	38	.223/.277/.382	.159	.321	16	5	35%	6%	82	+0.5	.235/.287/.379	.144	.336	14	8	32%	6%	85	+0.7	.230/.314/.391	.161	.298	19	6	28%	10%	98	+1.6
✕John Drennen 2008 · A	21	44→54	43→45	42→45	43	.217/.275/.328	.111	.279	11	6	26%	6%	67	-0.5	.223/.273/.323	.100	.277	8	4	21%	5%	64	-0.8	.244/.295/.365	.121	.292	9	1	19%	6%	81	+0.3
✕Nick Weglarz 2009 · A	21	44→47	49→50	45	48	.224/.300/.370	.146	.291	16	5	28%	9%	89	+0.9	.223/.312/.380	.157	.280	17	5	25%	10%	96	+1.5	.212/.313/.377	.165	.261	18	2	25%	11%	95	+0.7
✕Jordan Patterson 2014 · A	22	44→49	47→50	45→50	43	.223/.292/.355	.132	.269	15	9	23%	5%	82	+0.5	.219/.279/.346	.127	.296	13	13	29%	5%	74	-0.1	.221/.281/.375	.154	.306	15	9	31%	5%	79	+0.2
●Seth Beer 2019 · A	22	50→46	46→55	45→30	44	.246/.304/.375	.129	.302	15	5	23%	6%	92	+1.2	.237/.312/.408	.171	.291	22	3	26%	6%	105	+2.1	.214/.305/.374	.160	.256	20	0	24%	6%	92	+1.0
●Erik Komatsu 2009 · A	21	45→55	46→45	48→50	45	.227/.279/.359	.133	.266	13	7	20%	6%	76	+0.1	.244/.306/.352	.108	.291	8	12	18%	7%	85	+0.7	.262/.330/.361	.098	.303	7	17	15%	8%	95	+1.0
✕Matthew Sweeney 2009 · A	21	44→41	48→50	45	43	.223/.273/.367	.144	.268	15	6	23%	5%	76	+0.1	.207/.266/.335	.128	.285	13	4	30%	7%	65	-0.7	.175/.243/.294	.119	.252	12	2	34%	7%	42	-1.1
●Andrew Lambo 2010 · AA	21	48→50	46→60	43→45	42	.236/.280/.371	.135	.297	13	4	25%	5%	80	+0.4	.229/.276/.353	.124	.300	12	5	27%	6%	73	-0.1	.244/.293/.453	.208	.305	27	5	29%	6%	106	+1.2
✕Jeff Clement 2006 · A	22	48	49→55	45→30	44	.242/.297/.385	.143	.306	17	7	26%	7%	91	+1.1	.228/.293/.367	.139	.279	15	2	23%	7%	85	+0.7	.232/.304/.410	.178	.275	20	1	23%	8%	98	+1.4
✕Xavier Paul 2006 · A	21	45→55	43→50	40→55	40	.214/.276/.328	.113	.320	10	5	34%	7%	67	-0.5	.242/.291/.359	.117	.342	11	13	31%	6%	81	+0.4	.264/.314/.384	.120	.352	10	18	27%	6%	94	+0.8
✕Casey Craig 2007 · A	22	47→50	45	46→50	43	.232/.283/.355	.123	.291	13	11	24%	6%	77	+0.1	.235/.291/.347	.112	.294	10	15	23%	7%	78	+0.2	.236/.294/.341	.104	.293	9	18	22%	7%	75	-0.0
✕Alek Thomas 2021 · A	21	50→52	42→50	48→50	43	.241/.293/.352	.111	.314	8	10	25%	6%	79	+0.3	.243/.298/.388	.145	.306	13	11	24%	7%	92	+1.2	.243/.296/.389	.146	.295	14	11	22%	6%	87	+0.7
●Jesús Sánchez 2019 · AA	21	50→53	46→60	45→50	38	.246/.276/.379	.132	.311	13	6	25%	4%	80	+0.4	.234/.281/.377	.143	.304	17	5	28%	6%	82	+0.5	.247/.314/.450	.203	.306	25	4	27%	8%	110	+1.8
●Jordan Diaz 2022 · A	21	48→56	49→55	42→30	44	.244/.289/.392	.148	.290	17	5	22%	6%	89	+1.0	.259/.299/.417	.158	.302	19	2	21%	5%	100	+1.7	.260/.302/.420	.160	.301	21	0	21%	5%	99	+1.3
●Thomas Neal 2009 · A	21	46→56	47→55	42→50	42	.228/.286/.360	.132	.294	15	4	27%	6%	80	+0.4	.260/.319/.414	.154	.325	16	6	24%	6%	108	+2.3	.270/.328/.423	.153	.337	14	7	23%	6%	110	+1.9
●Taylor Green 2008 · A	21	47→55	44→50	36→30	47	.234/.290/.354	.120	.275	12	2	20%	7%	79	+0.3	.242/.300/.369	.127	.278	14	3	18%	7%	88	+0.9	.245/.302/.390	.145	.278	15	0	17%	7%	94	+1.0
✕Jon Waltenbury 2009 · A	21	46→42	45→55	42→40	44	.227/.280/.356	.129	.288	12	3	25%	6%	76	+0.1	.214/.264/.306	.092	.285	7	4	26%	6%	56	-1.3	.199/.250/.267	.068	.266	5	2	26%	6%	37	-2.0
✕Brendan Rodgers 2018 · AA	21	46→54	47→50	42→45	38	.230/.270/.361	.131	.292	15	5	26%	4%	73	-0.1	.235/.280/.371	.136	.296	15	7	25%	4%	80	+0.4	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
●Tyler Nevin 2018 · A	21	46→54	41→50	45	43	.225/.276/.329	.104	.286	8	9	24%	6%	67	-0.5	.231/.283/.339	.108	.294	10	6	24%	6%	72	-0.2	.240/.318/.386	.146	.290	17	4	22%	8%	98	+1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)