Imanol Vargas — OGILVIE

Imanol VargasOF Altoona Curve

Age 28 L/R 6'3" / 215 lbs AA BB +7% Svc 0.0 · Ctrl thru 2034

wRC+†68

AVG/OBP/SLG.194 / .273 / .329

PA136

HR4

K%38

BB%10

MLB%2%

Scouting · now → future

HIT

22→22

PWR

44→44

SPD

43→43

EYE

52→52

trajectory · 10 yrs

-0.2peak

2026

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	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$-15M		$-15M	+$0.0M

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
2017	19	ROK	DSL Dodgers 1	89	77	10	3	0	1	10	36	2	2	3	.130	.247	.208	.455	.078	.225	40	11	.230	34	-7	-1	+0	-1	+3	-0.6
2018	20	ROK	DSL Dodgers Robinson	257	221	43	7	2	3	32	72	2	10	7	.195	.302	.285	.587	.090	.270	28	12	.267	63	-11	-1	+0	-2	+7	-0.6
2019	21	ROK	AZL Dodgers Mota	186	166	32	6	1	6	17	72	2	4	3	.193	.276	.349	.625	.157	.295	39	9	.277	70	-6	-0	+0	-1	+5	-0.3
2021	23	A	Rancho Cucamonga Quakes	304	276	54	7	4	14	24	125	2	2	1	.196	.265	.402	.667	.207	.288	41	8	.283	75	-9	+0	+0	-2	+9	-0.2
2022	24	A+	Great Lakes Loons	470	403	85	16	1	14	58	178	8	5	0	.211	.322	.360	.682	.149	.335	38	12	.298	86	-7	+1	+0	-3	+13	0.4
2023	25	AA	Tulsa Drillers	526	470	95	25	0	17	53	219	0	0	0	.202	.283	.364	.647	.162	.329	42	10	.284	76	-15	+0	+0	-3	+15	-0.3
2024	26	A	Inland Empire 66ers	472	427	90	22	1	13	39	170	2	1	1	.211	.280	.358	.638	.148	.310	36	8	.280	72	-15	-0	+0	-3	+13	-0.4
2025	27	AA	Altoona Curve	121	104	17	2	0	1	14	45	0	0	0	.163	.263	.212	.474	.048	.262	37	12	.224	30	-10	+0	+0	-1	+3	-0.7
▸ 2026 Season
2026	28	MLB	PIT	136	122	24	5	0	4	13	52	0	1	0	.197	.274	.336	.610	.139	.300	38	10	.274	68	-5	+0	+0	-1	+4	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB 9%	PIT	194	172	34	8	0	5	19	72	1	1	0	.198	.281	.331	.613	.134	.298	37	10	.277	70	-7	+0	-1	-1	+5	-0.4
2028	30	MLB 19%	PIT	254	227	46	10	1	7	24	92	1	0	0	.203	.282	.348	.630	.145	.296	36	9	.277	70	-9	+0	-2	-2	+7	-0.5
2029	31	MLB 29%	PIT	265	237	48	10	1	7	25	95	1	0	0	.203	.281	.342	.623	.139	.295	36	9	.276	69	-9	+0	-3	-2	+8	-0.6
2030	32	MLB 40%	PIT	262	234	46	10	1	6	25	95	1	0	0	.197	.277	.325	.602	.128	.293	36	10	.272	66	-10	+0	-4	-2	+7	-0.8
2031	33	MLB 54%	PIT	242	216	42	9	0	6	23	89	1	0	0	.194	.275	.319	.594	.125	.291	37	10	.267	62	-10	+0	-4	-1	+7	-0.9
2032	34	MLB 71%	PIT	207	185	35	7	0	5	19	78	1	0	0	.189	.268	.308	.576	.119	.289	38	9	.260	57	-10	+0	-5	-1	+6	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			3985	3537	701	147	12	109	395	1490	24	26	15	.198	.283	.339	.622	.141	.302	37	10	.276	69	-138	-1	-19	-24	+113	-7.0
/ 162G	—			650	577	115	24	2	18	64	243	4	4	2	.199	.284	.341	.625	.142	.303	37	10	.276	69	-23	+0	-3	-4	+18	-1.1

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
2017	19	ROK	DSL Dodgers 1	89	71	15	5	0	2	16	25	2	2	3	.211	.371	.366	.737	.155	.295	28	18	.342	120	+2	-1	—	—	+3	0.4
2018	20	ROK	DSL Dodgers Robinson	257	201	53	9	3	4	52	50	2	10	7	.264	.420	.398	.818	.134	.329	19	20	.373	144	+13	-1	—	—	+7	2.0
2019	21	ROK	AZL Dodgers Mota	186	155	45	9	2	9	28	50	2	4	3	.290	.405	.548	.954	.258	.375	27	15	.415	176	+16	-0	—	—	+5	2.1
2021	23	A	Rancho Cucamonga Quakes	304	264	65	11	4	17	36	95	2	2	1	.246	.341	.511	.852	.265	.312	31	12	.370	141	+14	+0	—	—	+9	2.3
2022	24	A+	Great Lakes Loons	470	381	102	20	1	18	80	145	8	5	0	.268	.405	.467	.872	.199	.384	31	17	.390	157	+30	+1	—	—	+13	4.5
2023	25	AA	Tulsa Drillers	526	447	112	29	0	22	76	174	0	0	0	.251	.359	.463	.823	.213	.354	33	14	.364	136	+22	+0	—	—	+15	3.7
2024	26	A	Inland Empire 66ers	472	408	112	31	2	14	58	123	2	1	1	.275	.368	.463	.831	.189	.356	26	12	.366	139	+21	-0	—	—	+13	3.4
2025	27	AA	Altoona Curve	121	98	20	3	0	1	20	34	0	0	0	.204	.339	.265	.604	.061	.288	28	17	.284	76	-3	+0	—	—	+3	0.0

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
Imanol Vargas (OGILVIE)	28	22	44	43	52	.194/.273/.329	.135	.300	4	1	38%	10%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Patrick Dorrian 2023 · AAA	27	38→37	50→55	47→45	41	.196/.266/.350	.154	.290	19	6	38%	8%	70	-0.3	.196/.260/.343	.147	.289	18	6	37%	7%	65	-0.7	.181/.245/.318	.137	.261	18	5	37%	7%	49	-1.0
✕Craig Dedelow 2022 · AA	27	35→34	48→50	43→45	35	.186/.240/.326	.140	.284	17	5	40%	6%	52	-1.6	.185/.258/.341	.156	.335	19	11	47%	8%	64	-0.8	.157/.241/.320	.162	.292	21	14	50%	9%	50	-1.6
✕Patrick Breen 2009 · AA	27	39→40	50→55	43→45	39	.199/.266/.355	.156	.307	18	8	40%	8%	71	-0.3	.206/.294/.312	.106	.319	10	11	35%	9%	72	-0.2	.162/.295/.228	.066	.258	9	11	36%	12%	53	-0.3
✕Dom Nuñez 2023 · MLB	28	36→43	45→50	46→45	49	.185/.271/.311	.126	.259	12	4	32%	10%	62	-0.9	.176/.265/.289	.113	.261	11	6	34%	10%	54	-1.4	.147/.248/.254	.107	.221	11	4	36%	11%	36	-1.2
✕Matt Skole 2017 · AAA	28	38→39	49→50	46→40	45	.202/.269/.346	.144	.254	18	4	28%	8%	69	-0.4	.199/.266/.345	.146	.259	18	3	29%	8%	68	-0.5	.186/.263/.326	.140	.247	17	1	31%	9%	60	-0.7
✕Shane Matheny 2023 · AAA	27	43→42	46→45	50	42	.203/.281/.329	.126	.333	15	7	40%	9%	71	-0.3	.202/.287/.329	.127	.315	14	11	37%	10%	72	-0.2	.186/.280/.311	.124	.283	13	12	36%	11%	63	-0.5
✕Dariel Gomez 2023 · A	27	36→45	48→50	42→30	34	.177/.245/.318	.141	.323	16	2	48%	8%	53	-1.5	.187/.257/.304	.117	.348	12	5	46%	8%	53	-1.5	.152/.242/.230	.079	.323	7	0	50%	11%	26	-0.7
✕Rhett Wiseman 2021 · AA	27	37→41	50	46→45	38	.195/.256/.347	.152	.291	18	8	38%	7%	65	-0.7	.196/.247/.318	.122	.333	13	7	43%	5%	53	-1.5	.168/.216/.286	.117	.293	13	3	45%	4%	28	-1.7
✕Joe DeCarlo 2021 · AA	27	40→38	43→50	47→30	40	.197/.265/.308	.111	.291	11	5	34%	7%	58	-1.2	.199/.260/.292	.093	.305	9	6	35%	7%	51	-1.7	.163/.224/.224	.061	.249	8	0	36%	7%	16	-1.3
✕Viosergy Rosa 2018 · AA	28	39→49	45	40→30	43	.198/.263/.320	.121	.279	14	2	33%	8%	60	-1.0	.221/.278/.363	.142	.304	16	4	31%	7%	77	+0.1	.247/.311/.423	.176	.325	19	0	28%	9%	103	+0.4
✕Neil Medchill 2013 · AA	26	38→27	48→50	46→45	35	.190/.246/.323	.134	.309	16	7	42%	7%	54	-1.4	.212/.267/.327	.115	.349	12	7	40%	6%	63	-0.9	.206/.263/.291	.085	.344	10	5	40%	6%	50	-0.7
✕Kevin Richardson 2010 · AAA	29	36	48→50	43→40	35	.191/.246/.323	.132	.283	17	3	38%	5%	54	-1.4	.200/.247/.340	.140	.324	17	5	42%	5%	59	-1.1	.191/.237/.332	.141	.307	18	2	42%	4%	49	-0.8
✕Caleb Hamilton 2023 · MLB	28	36	50→45	48→45	47	.189/.279/.338	.149	.279	19	6	37%	11%	72	-0.2	.177/.257/.305	.128	.279	16	7	40%	9%	55	-1.4	.109/.194/.201	.091	.171	14	5	44%	9%	0	-1.3
✕Erik Ostberg 2023 · AA	27	40	50→55	46→45	41	.207/.269/.357	.150	.297	19	6	36%	8%	72	-0.2	.206/.262/.347	.141	.292	16	8	33%	7%	66	-0.6	.172/.219/.324	.153	.226	17	6	32%	5%	41	-0.6
✕Steven Lerud 2013 · AAA	28	40→42	41→45	42→40	37	.192/.259/.287	.095	.303	9	4	37%	6%	50	-1.7	.211/.289/.302	.091	.303	8	5	30%	8%	66	-0.6	.213/.299/.279	.066	.305	5	1	29%	9%	61	-0.3
✕Quincy Latimore 2017 · AA	28	41→42	48→50	46→50	41	.210/.264/.348	.138	.277	16	8	30%	6%	67	-0.5	.214/.263/.345	.131	.291	16	7	31%	6%	66	-0.6	.216/.254/.339	.124	.283	17	6	30%	4%	57	-0.8
✕Jameson Fisher 2021 · AA	27	39→36	40→45	43→45	41	.188/.258/.280	.092	.292	8	6	36%	8%	48	-1.9	.220/.275/.343	.123	.313	13	6	32%	7%	70	-0.3	.235/.285/.380	.146	.314	17	2	30%	6%	80	+0.2
✕Travis Taijeron 2017 · AAA	28	41	50→55	39→40	42	.200/.285/.356	.156	.314	17	3	39%	9%	79	+0.3	.194/.280/.345	.151	.314	17	4	40%	9%	75	-0.0	.180/.273/.340	.160	.291	19	3	41%	9%	67	-0.4
✕Brandon Hicks 2015 · MLB	29	36→40	50	46→50	41	.190/.266/.341	.151	.284	18	7	38%	8%	68	-0.5	.188/.260/.304	.116	.308	13	8	40%	8%	55	-1.4	.166/.236/.251	.085	.293	9	8	44%	8%	28	-1.3
✕Tim Pahuta 2011 · AA	28	39	50→55	45→40	37	.207/.242/.354	.147	.263	18	5	29%	4%	59	-1.1	.211/.252/.373	.162	.276	20	5	31%	5%	69	-0.4	.204/.248/.371	.167	.261	22	2	31%	5%	65	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)