Vimael Machín — OGILVIE

Vimael MachínSS Albuquerque Isotopes

Age 32 L/R 5'10" / 196 lbs AAA H +10%K -4% Svc 6.000 · Ctrl thru 2026 peak 2.0 · 2026

wRC+†119

AVG/OBP/SLG.243 / .294 / .390

PA350

HR10

SB8

K%21

BB%6

MLB%10%

Scouting · now → future

HIT

60→60

PWR

55→55

SPD

50→50

EYE

44↗45

trajectory · 10 yrs

1.5peak

2027

Contract

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

Status FA

MLB Debut 2020

Service 6.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$8M	+2.0	$16M	+$8M
Totals		$8M		$16M	+$8M

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
2015	21	A	South Bend Cubs	129	117	18	3	0	0	11	26	0	1	0	.154	.227	.179	.406	.026	.196	20	9	.187	1	-14	+0	+0	+0	+4	-1.0
2016	22	A	2 teams	145	127	28	5	0	0	14	35	2	3	1	.220	.308	.260	.568	.039	.304	24	10	.256	54	-8	+0	+0	+1	+4	-0.3
2017	23	A	2 teams	478	442	121	20	1	10	27	87	0	4	4	.274	.316	.391	.707	.118	.319	18	6	.303	90	-5	-1	+0	+2	+14	0.9
2018	24	AA	3 teams	576	509	95	20	1	9	55	139	5	7	2	.187	.272	.283	.555	.096	.236	24	10	.254	52	-31	+1	+0	+2	+16	-1.2
2019	25	AA	3 teams	658	593	144	31	2	7	48	103	6	8	3	.243	.306	.337	.643	.094	.278	16	7	.291	81	-14	+0	+0	+2	+19	0.7
2020	26	INTL	2 teams	167	142	30	5	0	0	19	24	4	1	0	.211	.321	.246	.568	.035	.250	14	11	.252	51	-9	+0	-1	+1	+5	-0.5
2021	27	AAA	3 teams	570	513	112	19	7	12	44	137	8	3	1	.218	.290	.353	.643	.135	.272	24	8	.282	74	-17	+0	-1	+6	+16	0.5
2022	28	AAA	3 teams	777	695	177	34	4	6	69	122	5	2	2	.255	.326	.341	.667	.086	.297	16	9	.296	85	-13	-0	-3	+3	+22	0.9
2023	29	AAA	2 teams	419	381	78	11	0	7	31	83	2	4	2	.205	.268	.289	.557	.084	.241	20	7	.254	53	-22	+0	+0	+1	+12	-0.9
2024	30	INTL	Criollos de Caguas	168	142	38	3	0	2	26	17	0	4	3	.268	.381	.331	.712	.063	.293	10	15	—	—	—	—	+0	+1	—	—
2025	31	AAA	2 teams	669	617	159	31	3	21	37	147	5	20	4	.258	.305	.420	.725	.162	.301	22	6	.308	94	-5	+2	+1	+2	+19	2.0
▸ 2026 Season (actual · ROS · total)
2026	32	AAA	Albuquerque Isotopes	72	63	22	5	1	2	9	3	0	2	1	.349	.431	.556	.986	.206	.345	4	12	.411	173	+6	+0	+0	+0	+2	0.8
ROS	32	MLB	COL	278	255	66	13	1	8	20	52	1	6	2	.259	.315	.412	.727	.153	.295	19	7	.323	106	+2	+0	+0	+1	+8	1.1
TOT	32	MLB	COL	350	318	88	18	2	10	29	55	1	8	3	.277	.339	.440	.779	.164	.307	16	8	.341	119	+8	+0	+0	+1	+10	2.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB 20%	COL	350	318	83	16	2	10	28	65	1	6	2	.261	.323	.418	.741	.157	.297	19	8	.326	107	+3	+0	-4	+1	+10	1.1
2028	34	MLB 33%	COL	306	277	71	14	2	8	25	60	1	5	2	.256	.320	.408	.728	.152	.295	20	8	.319	102	+1	+0	-5	+1	+9	0.6
2029	35	MLB 43%	COL	253	230	57	11	1	6	20	52	1	3	1	.248	.311	.383	.693	.135	.294	21	8	.310	96	-1	+0	-5	+1	+7	0.2
2030	36	MLB 52%	COL	196	179	43	8	1	4	15	42	0	2	1	.240	.299	.363	.662	.123	.291	21	8	.301	89	-3	+0	-6	+1	+6	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			6139	5537	1320	244	25	110	489	1191	41	79	30	.238	.305	.351	.656	.113	.282	19	8	.281	74	-183	+4	-24	+26	+174	-0.4
/ 162G	—			650	586	141	26	3	12	52	126	4	8	3	.241	.306	.357	.663	.116	.285	19	8	.281	74	-19	+0	-3	+3	+18	-0.0

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
2015	21	A	South Bend Cubs	129	113	20	4	0	0	15	20	0	1	0	.177	.273	.212	.486	.035	.213	16	12	.233	37	-9	+0	—	—	+4	-0.5
2016	22	AAA	Iowa Cubs	25	18	5	0	0	0	7	4	0	0	1	.278	.480	.278	.758	.000	.357	16	28	.376	146	+1	-0	—	—	+1	0.2
2016	22	A	South Bend Cubs	120	103	25	6	0	0	13	23	2	3	0	.243	.339	.301	.640	.058	.312	19	11	.295	84	-2	+1	—	—	+3	0.2
2017	23	A+	Myrtle Beach Pelicans	173	157	43	6	0	1	16	31	0	0	2	.274	.341	.331	.672	.057	.336	18	9	.309	95	-1	-1	—	—	+5	0.3
2017	23	A	South Bend Cubs	305	272	87	17	1	10	24	33	0	4	2	.320	.375	.500	.875	.180	.332	11	8	.375	145	+16	+0	—	—	+9	2.5
2018	24	AA	Tennessee Smokies	296	250	55	10	1	5	39	54	3	2	1	.220	.332	.328	.660	.108	.259	18	13	.303	90	-3	+0	—	—	+8	0.5
2018	24	A+	Myrtle Beach Pelicans	141	110	23	6	0	2	28	23	1	1	0	.209	.374	.318	.692	.109	.241	16	20	.324	106	+1	+0	—	—	+4	0.5
2018	24	INTL	Criollos de Caguas	139	118	37	6	2	2	19	15	1	4	1	.314	.413	.449	.862	.136	.347	11	14	.385	153	+8	+0	—	—	+4	1.3
2019	25	AAA	Iowa Cubs	31	25	8	1	1	1	6	5	0	0	0	.320	.452	.560	1.012	.240	.368	16	19	.442	196	+3	+0	—	—	+1	0.4
2019	25	AA	Tennessee Smokies	498	422	124	26	1	6	63	57	5	8	2	.294	.392	.403	.795	.109	.322	11	13	.356	131	+17	+1	—	—	+14	3.3
2019	25	INTL	Puerto Rico	129	119	36	8	3	0	6	25	1	0	1	.303	.341	.420	.761	.118	.375	19	5	.331	111	+2	-0	—	—	+4	0.5
2020	26	MLB	Oakland Athletics	71	63	13	2	0	0	8	10	0	0	0	.206	.296	.238	.534	.032	.245	14	11	.255	53	-4	+0	-1	+1	+2	-0.2
2020	26	INTL	Puerto Rico	96	80	24	2	0	0	10	10	4	1	0	.300	.404	.325	.729	.025	.333	10	10	.337	116	+2	+0	—	—	+3	0.5
2021	27	MLB	Oakland Athletics	37	32	4	0	0	0	3	10	0	0	0	.125	.200	.125	.325	.000	.182	27	8	.154	-24	-5	+0	-1	+6	+1	0.1
2021	27	AAA	Las Vegas Aviators	393	336	99	17	6	11	49	72	5	2	1	.295	.392	.479	.871	.185	.344	18	12	.384	152	+23	+0	—	—	+11	3.5
2021	27	INTL	Puerto Rico	140	121	35	8	0	2	16	9	3	1	0	.289	.386	.405	.791	.116	.300	6	11	.360	134	+5	+0	—	—	+4	1.0
2022	28	MLB	Oakland Athletics	253	223	49	12	0	1	25	47	2	1	1	.220	.304	.287	.591	.067	.270	19	10	.273	67	-9	-0	-3	+3	+7	-0.2
2022	28	AAA	Las Vegas Aviators	292	256	83	16	3	4	33	30	1	0	0	.324	.403	.457	.860	.133	.353	10	11	.383	151	+17	+0	—	—	+8	2.6
2022	28	INTL	Puerto Rico	232	193	53	7	0	2	34	20	2	1	1	.275	.389	.342	.731	.067	.293	9	15	.337	116	+4	-0	—	—	+7	1.1
2023	29	AAA	Lehigh Valley IronPigs	213	183	43	7	0	4	25	35	2	1	2	.235	.333	.339	.672	.104	.267	16	12	.306	92	-2	-1	—	—	+6	0.4
2023	29	INTL	Puerto Rico	206	178	49	6	0	2	26	24	0	3	0	.275	.368	.343	.710	.067	.305	12	13	.326	107	+2	+1	—	—	+6	0.8
2024	30	INTL	Criollos de Caguas	168	142	38	3	0	2	26	17	0	4	3	.268	.381	.331	.712	.063	.293	10	15	.333	113	+3	-0	—	—	+5	0.7
2025	31	AAA	Norfolk Tides	505	454	130	28	2	18	44	90	1	15	4	.286	.350	.476	.826	.189	.319	18	9	.361	134	+20	+1	—	—	+14	3.6
2025	31	INTL	Criollos de Caguas	164	134	28	1	0	2	21	25	4	5	0	.209	.333	.261	.595	.052	.234	15	13	.278	71	-5	+1	—	—	+5	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			361	318	66	14	0	1	36	67	2	1	1	.208	.292	.261	.553	.053	.257	19	10	.257	55	-18	-0	-5	+9	+10	-0.4

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
Vimael Machín (OGILVIE)	32	60	55	50	45	.243/.294/.390	.148	.286	10	7	21%	6%	92	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Didi Gregorius 2022 · MLB	32	46→55	53→60	47→50	48	.237/.293/.408	.171	.246	21	6	15%	6%	95	+1.4	.215/.277/.344	.129	.238	13	6	16%	6%	72	-0.2	.186/.248/.281	.095	.212	6	3	15%	5%	41	-0.7
✕Greg Dobbs 2011 · MLB	33	46→56	50→55	48→50	47	.237/.287/.389	.152	.267	18	8	19%	6%	88	+0.9	.252/.297/.367	.115	.295	12	5	18%	6%	85	+0.7	.260/.307/.357	.097	.304	9	3	17%	6%	77	+0.1
✕Rafael Ortega 2023 · MLB	32	49→54	49→55	48→55	54	.245/.324/.392	.147	.288	16	18	21%	10%	105	+2.1	.225/.314/.362	.137	.275	14	21	22%	11%	92	+1.2	.212/.311/.341	.129	.261	14	26	23%	12%	84	+0.4
✕Jason Kipnis 2019 · MLB	32	46→56	51→55	50→55	52	.235/.308/.401	.166	.267	18	10	20%	9%	100	+1.7	.233/.306/.396	.163	.270	19	8	21%	9%	98	+1.6	.233/.306/.397	.164	.273	19	6	22%	9%	94	+0.7
✕Eddy Alvarez 2022 · MLB	32	51→54	49→50	49→55	45	.250/.329/.404	.154	.319	17	15	26%	7%	110	+2.4	.239/.323/.393	.154	.319	16	16	28%	8%	105	+2.1	.224/.307/.385	.161	.298	18	21	29%	8%	93	+0.7
✕Darnell McDonald 2012 · MLB	33	51→56	51→55	50→55	46	.255/.309/.424	.170	.304	17	12	22%	7%	106	+2.2	.216/.280/.340	.124	.264	12	10	22%	8%	72	-0.2	.195/.258/.288	.093	.243	8	9	22%	7%	47	-1.0
✕Kolten Wong 2023 · MLB	32	52→60	49→50	51→55	52	.260/.337/.419	.159	.294	15	16	17%	8%	117	+2.9	.224/.298/.352	.128	.266	13	12	20%	8%	83	+0.6	.183/.254/.261	.078	.227	8	8	22%	7%	41	-0.7
✕Alejandro De Aza 2016 · MLB	32	52→61	47→50	51→55	48	.255/.320/.400	.145	.315	13	16	22%	8%	104	+2.0	.232/.304/.356	.124	.287	11	11	22%	8%	86	+0.8	.242/.306/.359	.117	.291	10	10	20%	7%	85	+0.2
✕Will Venable 2015 · MLB	32	49→56	49→55	55→60	47	.246/.304/.397	.151	.297	16	21	23%	7%	97	+1.5	.226/.290/.340	.114	.287	11	16	24%	8%	76	+0.1	.213/.281/.306	.093	.275	9	17	24%	8%	58	-0.7
✕Nick Martini 2023 · MLB	33	48→58	47→55	46→45	48	.237/.318/.372	.135	.301	15	7	25%	8%	97	+1.5	.231/.312/.396	.165	.282	19	3	24%	9%	101	+1.8	.218/.306/.374	.155	.263	17	0	23%	9%	90	+0.7
✕David Newhan 2006 · MLB	32	53→63	46→50	56→55	50	.259/.319/.390	.131	.299	13	17	18%	7%	101	+1.8	.251/.308/.390	.139	.292	14	16	19%	7%	96	+1.5	.256/.306/.403	.147	.301	15	16	20%	6%	96	+0.6
●Daniel Descalso 2018 · MLB	31	48→54	48→50	51→45	56	.237/.325/.382	.146	.282	15	7	21%	11%	102	+1.9	.224/.326/.382	.158	.287	16	5	25%	13%	103	+1.9	.202/.317/.357	.155	.263	16	2	27%	14%	88	+0.5
✕Dioner Navarro 2015 · MLB	31	54→61	47→50	46→45	50	.270/.320/.401	.131	.293	16	4	14%	7%	104	+2.0	.240/.297/.367	.127	.274	15	4	18%	7%	86	+0.8	.208/.275/.313	.105	.245	12	1	20%	8%	60	-0.4
✕Kevin Pillar 2021 · MLB	32	51→59	52→55	50→55	43	.258/.295/.429	.171	.281	19	13	16%	4%	102	+1.8	.245/.292/.430	.185	.274	23	10	20%	5%	102	+1.8	.231/.277/.423	.192	.256	26	8	22%	4%	92	+0.5
✕Jody Gerut 2010 · MLB	32	50→56	53→55	49→50	51	.258/.313/.431	.173	.272	20	12	15%	7%	109	+2.4	.245/.302/.401	.156	.268	17	8	15%	7%	97	+1.5	.246/.302/.397	.151	.270	14	0	14%	7%	92	+0.4
✕Ezequiel Carrera 2018 · MLB	31	53→63	44→45	50→60	49	.257/.323/.369	.112	.317	12	15	22%	8%	98	+1.6	.225/.284/.332	.107	.290	11	19	25%	7%	72	-0.2	.169/.205/.225	.056	.223	3	36	25%	4%	6	-1.3
✕Gabe Kapler 2006 · MLB	31	55→60	46→55	47→55	47	.268/.314/.400	.132	.303	12	10	16%	6%	102	+1.8	.261/.318/.401	.140	.292	14	8	15%	7%	104	+2.0	.262/.332/.433	.171	.289	17	8	15%	9%	115	+1.0
●Michael Tucker 2004 · MLB	33	50→52	49→55	51→55	53	.250/.323/.413	.163	.292	16	17	20%	9%	108	+2.3	.247/.333/.395	.148	.291	14	10	19%	11%	108	+2.3	.238/.335/.372	.134	.280	12	9	18%	12%	99	+1.2
✕Kevan Smith 2020 · MLB	32	54	44→50	49→40	47	.262/.314/.378	.116	.296	12	5	16%	6%	96	+1.5	.234/.305/.355	.121	.292	12	7	23%	8%	87	+0.8	.163/.242/.193	.030	.240	0	0	29%	9%	2	-0.9
✕Hector Luna 2012 · MLB	32	49	50→55	49→50	47	.251/.304/.406	.155	.284	18	8	19%	6%	99	+1.7	.241/.286/.380	.139	.280	16	8	20%	5%	85	+0.7	.245/.283/.378	.133	.283	15	3	19%	4%	80	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)