Jheremy Vargas — OGILVIE

Jheremy VargasSS Biloxi Shuckers

Age 23 R/R 5'10" / 160 lbs AA BB +10%HR +7% Svc 0.0 · Ctrl thru 2034 peak 0.2 · 2030

wRC+†42

AVG/OBP/SLG.201 / .260 / .258

PA320

HR2

SB9

K%25

BB%7

MLB%2%

Scouting · now → future

HIT

40→40

PWR

20→20

SPD

50→50

EYE

45↘35

trajectory · 10 yrs

0.2peak

2030

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	Arb-1	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2030	Arb-2	$0.9M	+0.2	$0.9M	+$0.0M
2031	Arb-3	$0.9M	+0.1	$0.5M	+$0.0M (cut)
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$3M		$-3M	-$6M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2021	18	ROK	ACL Brewers Blue	174	144	24	1	2	2	20	59	5	8	4	.167	.290	.243	.533	.076	.250	34	11	.249	49	-10	+0	+0	+2	+5	-0.3
2022	19	A	2 teams	352	309	42	7	0	3	35	133	7	11	7	.136	.239	.188	.427	.052	.224	38	10	.203	14	-34	-1	+0	+4	+10	-2.2
2023	20	A	2 teams	251	227	40	9	0	0	22	71	2	11	4	.176	.255	.216	.471	.040	.256	28	9	.221	27	-21	+1	+0	+3	+7	-1.0
2024	21	A+	Wisconsin Timber Rattlers	353	320	56	9	1	4	27	69	4	23	8	.175	.248	.247	.495	.072	.209	20	8	.222	28	-29	+1	+0	+4	+10	-1.4
2025	22	AA	2 teams	354	331	63	4	0	0	19	97	2	13	7	.190	.239	.202	.441	.012	.267	27	5	.202	13	-35	-0	+0	+4	+10	-2.2
▸ 2026 Season
2026	23	MLB	MIL	320	293	60	9	1	2	22	79	2	9	4	.205	.265	.263	.528	.058	.266	25	7	.240	42	-21	+0	+0	+3	+9	-0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	MIL	416	380	80	12	1	5	30	100	3	11	5	.211	.274	.287	.560	.076	.269	24	7	.257	55	-21	+0	+0	+4	+12	-0.5
2028	25	MLB 26%	MIL	452	412	88	13	1	7	34	107	3	12	5	.214	.278	.301	.579	.087	.272	24	8	.267	63	-19	+0	+0	+5	+13	-0.1
2029	26	MLB 44%	MIL	474	430	93	14	1	8	37	112	4	12	5	.216	.285	.309	.594	.093	.274	24	8	.273	67	-18	+0	+0	+5	+13	0.1
2030	27	MLB 59%	MIL	481	436	96	15	1	9	38	114	4	11	4	.220	.289	.321	.610	.101	.274	24	8	.274	68	-17	+1	+0	+5	+14	0.2
2031	28	MLB 69%	MIL	482	437	94	14	1	8	38	116	4	11	4	.215	.284	.307	.591	.092	.274	24	8	.273	67	-18	+1	-1	+5	+14	0.1
2032	29	MLB 77%	MIL	475	430	92	14	1	8	38	115	4	9	4	.214	.284	.307	.591	.093	.273	24	8	.271	66	-18	+0	-1	+5	+13	-0.1
2033	30	MLB 95%	MIL	466	422	91	14	1	8	37	115	4	8	3	.216	.285	.310	.596	.095	.272	25	8	.268	63	-19	+0	-2	+5	+13	-0.3
2034	31	MLB	MIL	453	411	86	13	1	7	36	113	3	6	2	.209	.278	.297	.575	.088	.270	25	8	.264	60	-20	+0	-3	+5	+13	-0.5
2035	32	MLB	MIL	436	395	81	12	1	6	35	111	3	5	2	.205	.275	.286	.561	.081	.269	25	8	.260	57	-21	+0	-4	+5	+12	-0.8
2036	33	MLB	MIL	407	369	76	11	1	6	32	107	3	4	2	.206	.275	.290	.565	.084	.267	26	8	.255	53	-22	+0	-4	+4	+12	-1.0
2037	34	MLB	MIL	362	329	66	9	1	5	28	98	2	3	1	.201	.267	.280	.547	.079	.266	27	8	.249	48	-21	+0	-5	+4	+10	-1.2
▸ Career Totals (MLE all levels + projections)
Career	—			6708	6075	1228	180	15	88	528	1716	59	167	71	.202	.272	.280	.553	.078	.265	26	8	.253	52	-364	+5	-20	+72	+190	-11.9
/ 162G	—			650	589	119	17	1	9	51	166	6	16	7	.202	.272	.280	.553	.078	.264	26	8	.253	52	-35	+0	-2	+7	+18	-1.2

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
2021	18	ROK	ACL Brewers Blue	174	135	31	2	3	2	29	42	5	8	4	.230	.385	.333	.718	.104	.302	24	17	.329	110	+2	+0	—	—	+5	0.7
2022	19	A	Carolina Mudcats	314	257	46	8	0	3	49	80	7	9	4	.179	.326	.245	.571	.066	.246	25	16	.279	71	-10	+0	—	—	+9	-0.1
2022	19	ROK	ACL Brewers Blue	38	32	8	2	0	1	6	12	0	2	3	.250	.368	.406	.775	.156	.368	32	16	.352	127	+1	-1	—	—	+1	0.1
2023	20	A+	Wisconsin Timber Rattlers	64	58	14	2	0	0	6	18	0	1	1	.241	.312	.276	.588	.034	.350	28	9	.275	69	-2	-0	—	—	+2	-0.1
2023	20	A	Carolina Mudcats	187	157	37	11	0	0	28	33	2	10	3	.236	.358	.306	.664	.070	.298	18	15	.314	98	-0	+1	—	—	+5	0.6
2024	21	A+	Wisconsin Timber Rattlers	353	309	65	11	1	5	38	54	4	23	8	.210	.305	.301	.606	.091	.238	15	11	.281	73	-11	+1	—	—	+10	0.1
2025	22	AA	Biloxi Shuckers	321	291	64	4	0	0	26	65	2	10	6	.220	.288	.234	.522	.014	.281	20	8	.246	47	-19	-0	—	—	+9	-1.1
2025	22	A+	Wisconsin Timber Rattlers	33	31	6	1	0	0	2	6	0	3	1	.194	.242	.226	.468	.032	.240	18	6	.218	25	-3	+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
Jheremy Vargas (OGILVIE)	23	40	20	50	35	.201/.260/.258	.057	.266	2	9	25%	7%	42	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Claudio Finol 2023 · AA	23	39	38→40	49→45	40	.187/.243/.265	.078	.259	5	8	29%	6%	37	-2.7	.205/.266/.297	.092	.292	8	10	31%	7%	55	-1.4	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕DJ Jenkins 2017 · A	23	45	35→30	50→55	43	.214/.264/.268	.054	.278	3	16	23%	6%	45	-2.1	.215/.263/.259	.044	.301	2	15	27%	6%	43	-2.2	.210/.259/.240	.030	.297	1	15	28%	5%	32	-1.4
✕Dwayne Bailey 2011 · AAA	24	42	35→30	53→50	41	.199/.256/.254	.055	.291	2	14	31%	6%	38	-2.6	.218/.278/.286	.068	.315	3	12	29%	7%	56	-1.3	.227/.292/.289	.061	.331	2	11	29%	7%	59	-0.7
✕Mike Martin 2017 · A	24	45	36→30	51→55	44	.210/.279/.272	.062	.287	4	14	27%	7%	54	-1.4	.230/.281/.300	.070	.287	4	18	20%	6%	61	-1.0	.245/.291/.304	.059	.296	2	27	17%	5%	63	-0.4
✕Derrik Gibson 2013 · AA	23	43→53	34→40	51→55	44	.201/.258/.252	.050	.272	1	17	25%	6%	39	-2.5	.228/.290/.299	.071	.306	3	13	24%	7%	65	-0.7	.249/.312/.317	.069	.316	3	11	20%	7%	75	+0.0
✕Shawn Roof 2008 · A	23	44	35→30	46→50	43	.206/.268/.264	.058	.285	3	9	27%	6%	47	-1.9	.226/.287/.279	.053	.300	2	9	23%	6%	59	-1.1	.248/.297/.297	.049	.327	1	17	23%	5%	62	-0.4
✕Dionis Hinojosa 2014 · A	23	43	36→30	51→60	41	.202/.259/.265	.062	.288	3	18	29%	6%	43	-2.2	.207/.259/.282	.075	.283	4	10	27%	6%	47	-1.9	.198/.248/.261	.062	.248	4	8	21%	4%	37	-0.4
✕Alexis Bastardo 2017 · A	23	42	35→40	50→55	39	.197/.252/.257	.060	.284	3	11	30%	5%	38	-2.6	.197/.244/.269	.072	.273	5	13	28%	5%	37	-2.6	.185/.221/.251	.067	.244	7	20	27%	3%	19	-1.5
✕Jon Murphy 2013 · A	23	39	38→30	47→50	39	.188/.240/.266	.078	.269	5	13	31%	6%	35	-2.8	.202/.255/.266	.064	.303	4	10	32%	6%	41	-2.3	.197/.253/.251	.053	.301	3	10	33%	6%	33	-1.5
✕Yoel Romero 2021 · A	23	43	39→40	46→50	46	.205/.268/.285	.080	.271	6	9	26%	8%	53	-1.5	.214/.264/.307	.093	.327	8	4	35%	6%	56	-1.3	.209/.256/.300	.091	.320	8	0	36%	5%	49	-0.8
✕Richie Martin Jr. 2018 · AA	23	43→53	38→45	50→60	43	.206/.267/.289	.083	.270	5	13	25%	6%	53	-1.5	.225/.278/.327	.102	.293	8	18	25%	6%	67	-0.5	.228/.282/.329	.101	.297	8	20	25%	5%	67	-0.3
✕Erlin Cerda 2017 · A	23	45	36→40	53→55	44	.210/.273/.281	.071	.280	2	13	24%	6%	53	-1.5	.196/.241/.267	.071	.299	3	8	33%	5%	35	-2.8	.166/.201/.211	.044	.261	0	8	35%	4%	-1	-1.2
✕Francisco Martinez 2014 · AA	23	47→49	38→40	51→55	39	.222/.262/.298	.076	.304	5	17	28%	5%	52	-1.6	.214/.247/.294	.080	.295	6	19	28%	4%	44	-2.1	.211/.236/.294	.083	.285	6	20	28%	3%	36	-1.9
✕Blake Rambusch 2023 · A	23	47	37→30	52→60	42	.219/.287/.296	.076	.318	4	13	30%	7%	63	-0.8	.226/.311/.291	.065	.315	3	28	26%	9%	72	-0.2	.233/.319/.287	.055	.311	2	37	23%	9%	71	-0.1
✕Andrew Sohn 2016 · A	23	45	38→30	52→55	41	.216/.269/.295	.078	.278	6	17	24%	5%	55	-1.4	.203/.274/.280	.077	.276	6	16	27%	7%	54	-1.4	.170/.262/.222	.052	.238	5	18	28%	9%	32	-1.4
✕Coty Blanchard 2015 · A	23	41	36→40	48→45	47	.192/.261/.260	.067	.258	2	6	25%	8%	43	-2.2	.227/.279/.301	.074	.303	3	7	24%	6%	60	-1.0	.250/.296/.318	.068	.327	2	7	23%	5%	68	-0.2
✕Jose Bernardo Lopez 2012 · AAA	22	47	37→30	45→50	41	.225/.259/.294	.069	.279	5	15	21%	4%	50	-1.8	.247/.279/.300	.053	.300	3	10	18%	4%	59	-1.1	.268/.306/.317	.049	.323	2	12	17%	4%	71	-0.1
✕Alfredo González 2015 · A	23	42	38→40	52→45	43	.202/.261/.280	.078	.265	5	10	25%	6%	48	-1.9	.230/.292/.294	.064	.312	4	6	25%	7%	64	-0.8	.223/.286/.280	.057	.296	4	5	24%	7%	55	-0.6
✕Delvin Pérez 2022 · AA	23	46→47	36→30	52→55	37	.215/.260/.277	.062	.305	4	19	30%	4%	46	-2.0	.203/.263/.287	.084	.303	8	25	33%	7%	51	-1.7	.187/.252/.257	.071	.272	7	29	32%	7%	36	-1.5
✕Joe Munoz 2008 · A	22	44	36→30	52→55	45	.204/.278/.271	.068	.260	2	17	21%	6%	54	-1.4	.202/.253/.265	.063	.268	3	9	24%	4%	41	-2.3	.193/.226/.221	.028	.258	0	9	24%	2%	14	-1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)