Dixon Machado — OGILVIE

Dixon Machado2B Iowa Cubs

Age 34 R/R 6'0" / 190 lbs AAA BB +5%HR -4% Svc 11.000 · Ctrl thru 2026 peak 0.2 · 2026

wRC+†76

AVG/OBP/SLG.221 / .306 / .308

PA294

HR4

K%21

BB%10

MLB%10%

Scouting · now → future

HIT

45→45

PWR

35→35

SPD

45→45

EYE

55↗60

Contract

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

Status FA

MLB Debut 2015

Service 11.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.2	$0.8M	-$0.2M
Totals		$1M		$0.8M	-$0.2M

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
2009	17	ROK	VSL Tigers	277	246	42	5	1	2	20	46	5	27	6	.171	.247	.224	.471	.053	.199	17	7	.211	20	-25	+3	+0	+1	+8	-1.4
2010	18	ROK	GCL Tigers	183	170	35	3	2	0	9	39	0	12	3	.206	.246	.247	.493	.041	.263	21	5	.221	27	-15	+1	+0	+1	+5	-0.8
2011	19	A	2 teams	565	514	110	1	2	0	34	116	4	25	5	.214	.268	.224	.492	.010	.275	21	6	.222	28	-46	+3	+0	+2	+16	-2.5
2012	20	A+	Lakeland Flying Tigers	486	429	77	17	1	2	39	85	1	23	5	.179	.249	.238	.487	.058	.219	17	8	.211	20	-44	+3	+0	+2	+14	-2.7
2013	21	A+	3 teams	238	224	45	8	1	1	9	41	0	2	0	.201	.232	.259	.491	.058	.242	17	4	.217	24	-20	+0	+0	+1	+7	-1.3
2014	22	AA	2 teams	529	469	125	30	2	6	45	94	4	10	6	.267	.336	.377	.713	.111	.319	18	9	.307	93	-4	-0	+0	+2	+15	1.3
2015	23	AAA	3 teams	771	708	171	24	1	5	35	139	5	17	3	.242	.282	.299	.582	.058	.293	18	5	.251	51	-43	+2	+2	+8	+22	-0.9
2016	24	AAA	Toledo Mud Hens	569	510	126	23	2	4	40	89	6	17	5	.247	.309	.324	.633	.076	.290	16	7	.276	69	-20	+1	+2	+6	+16	0.6
2017	25	MLB	Detroit Tigers	181	166	43	5	1	1	10	32	1	1	0	.259	.305	.319	.624	.060	.311	18	6	.276	70	-6	+0	+1	+2	+5	0.2
2018	26	MLB	2 teams	404	366	75	17	1	2	27	74	6	5	3	.205	.271	.273	.544	.068	.251	18	7	.242	43	-26	-0	-2	+1	+11	-1.5
2019	27	AAA	Iowa Cubs	393	345	71	14	1	13	38	99	4	0	2	.206	.292	.365	.657	.159	.248	25	10	.285	76	-11	-1	+0	+1	+11	0.1
2022	30	AAA	2 teams	539	491	122	21	1	5	39	89	8	10	3	.248	.314	.326	.640	.077	.294	17	7	.287	77	-14	+1	+1	+6	+15	0.9
2023	31	AAA	2 teams	321	275	55	8	1	6	40	66	4	1	0	.200	.310	.302	.612	.102	.239	21	12	.278	71	-10	+0	+0	+1	+9	-0.0
2024	32	AAA	2 teams	202	175	36	4	0	3	18	38	3	1	0	.206	.291	.280	.571	.074	.239	19	9	.250	49	-12	+0	+0	+1	+6	-0.5
2025	33	AAA	Iowa Cubs	331	288	62	9	0	3	34	71	3	4	2	.215	.305	.278	.582	.062	.272	21	10	.264	60	-15	+0	+0	+1	+9	-0.4
▸ 2026 Season
2026	34	MLB	CHC	294	260	58	9	1	4	30	61	2	3	1	.223	.308	.312	.620	.088	.272	21	10	.285	76	-8	+0	-0	+1	+8	0.2
▸ Career Totals (MLE all levels + projections)
Career	—			6283	5636	1253	198	18	57	467	1179	56	158	44	.222	.288	.294	.583	.072	.270	19	7	.257	55	-318	+14	+3	+37	+178	-8.8
/ 162G	—			650	583	129	20	2	6	48	122	6	16	5	.221	.287	.293	.580	.072	.269	19	7	.257	55	-33	+1	+0	+4	+18	-0.9

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
2009	17	ROK	VSL Tigers	277	234	48	6	1	3	32	32	5	27	6	.205	.314	.278	.591	.073	.223	12	12	.274	68	-10	+3	—	—	+8	0.1
2010	18	ROK	GCL Tigers	183	165	43	4	3	0	14	27	0	12	3	.261	.318	.321	.640	.061	.307	15	8	.286	77	-5	+1	—	—	+5	0.2
2011	19	A	West Michigan Whitecaps	491	429	101	1	2	0	46	77	4	25	5	.235	.315	.247	.562	.012	.285	16	9	.261	58	-23	+3	—	—	+14	-0.6
2011	19	INTL	Salt River Rafters	74	68	8	0	2	0	5	19	0	0	0	.118	.178	.176	.355	.059	.163	26	7	.164	-16	-10	+0	—	—	+2	-0.8
2012	20	A+	Lakeland Flying Tigers	486	417	81	16	1	2	51	60	1	23	5	.194	.284	.252	.535	.058	.222	12	10	.244	45	-30	+3	—	—	+14	-1.4
2013	21	A+	Lakeland Flying Tigers	163	149	32	5	2	1	10	19	0	1	0	.215	.264	.295	.559	.081	.240	12	6	.248	48	-10	+0	—	—	+5	-0.5
2013	21	ROK	GCL Tigers	30	28	9	2	0	0	1	5	0	0	0	.321	.345	.393	.738	.071	.391	17	3	.320	103	+0	+0	—	—	+1	0.1
2013	21	INTL	Mesa Solar Sox	45	38	6	0	0	0	7	12	0	1	0	.158	.289	.158	.447	.000	.231	27	16	.229	34	-3	+0	—	—	+1	-0.2
2014	22	AA	Erie SeaWolves	342	292	89	23	1	5	40	36	3	8	5	.305	.394	.442	.836	.137	.331	11	12	.368	140	+15	-0	—	—	+10	2.5
2014	22	A+	Lakeland Flying Tigers	187	159	40	8	1	1	23	34	1	2	1	.252	.350	.333	.683	.082	.312	18	12	.310	95	-1	+0	—	—	+5	0.4
2015	23	MLB	Detroit Tigers	78	68	16	3	0	0	7	14	0	1	0	.235	.307	.279	.586	.044	.296	18	9	.263	59	-4	+0	+2	+8	+2	0.9
2015	23	AAA	Toledo Mud Hens	567	509	133	22	1	4	36	85	4	15	3	.261	.315	.332	.647	.071	.305	15	6	.286	77	-15	+2	—	—	+16	0.3
2015	23	INTL	Leones del Caracas	126	105	31	8	0	4	18	12	1	1	0	.295	.403	.486	.889	.190	.303	10	14	.390	156	+8	+0	—	—	+4	1.2
2016	24	AAA	Toledo Mud Hens	569	492	131	28	2	4	58	75	6	17	5	.266	.351	.356	.706	.089	.305	13	10	.317	100	+0	+1	—	—	+16	1.8
2017	25	MLB	Detroit Tigers	181	166	43	5	1	1	10	32	1	1	0	.259	.305	.319	.624	.060	.311	18	6	.278	71	-6	+0	+1	+2	+5	0.2
2018	26	MLB	Detroit Tigers	233	214	44	13	1	1	14	41	3	1	1	.206	.264	.290	.554	.084	.249	18	6	.252	51	-13	-0	-2	+1	+7	-0.7
2018	26	AAA	Toledo Mud Hens	171	147	33	5	0	1	18	28	3	4	2	.224	.321	.279	.600	.054	.271	16	11	.279	72	-5	+0	—	—	+5	-0.1
2019	27	AAA	Iowa Cubs	393	329	86	19	1	17	54	79	4	0	2	.261	.372	.480	.852	.219	.295	20	14	.372	143	+19	-1	—	—	+11	3.0
2022	30	MLB	San Francisco Giants	17	15	3	0	0	0	1	5	1	0	0	.200	.294	.200	.494	.000	.300	29	6	.244	45	-1	+0	+1	+6	+0	0.6
2022	30	AAA	Sacramento River Cats	522	461	134	26	1	6	53	64	7	10	3	.291	.372	.390	.763	.100	.327	12	10	.347	124	+14	+1	—	—	+15	3.0
2023	31	AAA	Sugar Land Space Cowboys	293	239	55	7	1	7	51	48	2	1	0	.230	.370	.356	.726	.126	.259	16	17	.336	115	+5	+0	—	—	+8	1.4
2023	31	ROK	FCL Astros	28	17	4	2	0	0	8	3	2	0	0	.235	.519	.353	.871	.118	.267	11	29	.408	171	+2	+0	—	—	+1	0.3
2024	32	AAA	Sugar Land Space Cowboys	182	153	34	3	0	3	23	25	0	1	0	.222	.324	.301	.625	.078	.240	14	13	.283	75	-5	+0	—	—	+5	0.0
2024	32	ROK	FCL Astros	20	14	4	1	0	0	3	4	3	0	0	.286	.500	.357	.857	.071	.400	20	15	.415	176	+2	+0	—	—	+1	0.2
2025	33	AAA	Iowa Cubs	331	272	60	10	0	4	50	59	3	4	2	.221	.348	.301	.649	.081	.264	18	15	.302	89	-4	+0	—	—	+9	0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			509	463	106	21	2	2	32	92	5	3	1	.229	.286	.296	.582	.067	.280	18	6	.263	59	-23	+0	+2	+17	+14	1.0

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
Dixon Machado (OGILVIE)	34	45	35	45	60	.221/.306/.308	.087	.272	4	3	21%	10%	76	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gary Bennett 2006 · MLB	34	48	39→40	45→40	53	.228/.297/.314	.086	.260	6	5	15%	8%	72	-0.2	.230/.289/.337	.107	.257	11	5	15%	7%	75	-0.0	.231/.277/.325	.094	.254	11	2	14%	6%	59	-0.3
✕Luke Carlin 2015 · AAA	34	43	41→45	44→45	51	.211/.283/.309	.098	.255	9	6	21%	9%	66	-0.6	.194/.280/.292	.098	.247	7	7	23%	9%	60	-1.0	.129/.251/.188	.059	.173	0	3	22%	12%	22	-1.2
✕Matt Treanor 2011 · MLB	35	45	42→40	43→40	51	.221/.296/.317	.096	.259	10	5	19%	8%	73	-0.1	.213/.313/.311	.098	.260	10	6	20%	11%	80	+0.4	.192/.314/.268	.076	.244	7	5	22%	13%	63	-0.3
✕Fernando Rios 2013 · AAA	34	49	41→40	49→50	47	.238/.287/.331	.094	.273	9	9	17%	6%	72	-0.2	.227/.274/.321	.094	.265	9	10	18%	5%	64	-0.8	.232/.273/.270	.038	.262	3	4	12%	5%	48	-0.4
✕José Yépez 2015 · AAA	34	46	38→40	46→30	46	.217/.274/.296	.079	.253	5	5	16%	5%	58	-1.2	.205/.250/.286	.081	.252	7	8	21%	5%	45	-2.1	.163/.198/.194	.031	.202	4	4	21%	4%	-2	-1.3
✕Michel Hernandez 2012 · MLB	33	50	39→40	46→40	51	.239/.301/.323	.083	.271	6	6	14%	7%	76	+0.1	.219/.276/.316	.097	.255	7	7	17%	6%	63	-0.8	.177/.222/.251	.073	.207	3	3	15%	4%	20	-1.1
✕Carlos Maldonado 2012 · AAA	33	43→50	41→40	46→40	46	.208/.271/.302	.094	.271	8	6	26%	8%	59	-1.1	.201/.269/.316	.115	.277	12	6	30%	8%	62	-0.9	.176/.259/.306	.130	.218	17	0	28%	10%	51	-0.5
✕Brendan Ryan 2016 · MLB	34	43→53	39→40	43→55	44	.207/.264/.292	.085	.267	6	6	24%	6%	53	-1.5	.207/.262/.285	.078	.278	5	9	26%	6%	50	-1.8	.196/.252/.258	.063	.261	3	9	25%	7%	35	-1.6
✕Tyler Ladendorf 2021 · AAA	33	43→49	40	45→50	46	.211/.270/.303	.093	.268	8	8	24%	7%	58	-1.2	.215/.262/.353	.138	.286	16	8	30%	5%	68	-0.5	.192/.237/.331	.139	.245	18	2	30%	4%	50	-0.6
✕Bryan Holaday 2021 · MLB	33	47	44→45	42→40	50	.229/.298/.342	.114	.263	11	5	18%	8%	81	+0.4	.227/.288/.391	.164	.279	19	8	25%	7%	89	+1.0	.195/.249/.389	.194	.232	24	4	28%	5%	75	-0.0
✕Erick Almonte 2010 · AAA	32	51→48	41→40	46→45	49	.243/.304/.341	.098	.302	8	7	22%	8%	82	+0.5	.247/.298/.337	.090	.316	7	7	23%	7%	78	+0.2	.260/.310/.348	.088	.329	6	5	22%	6%	81	+0.2
✕Jose Munoz 2013 · AAA	34	45→49	41→45	47→50	51	.217/.296/.313	.096	.276	9	8	24%	10%	72	-0.2	.212/.281/.323	.111	.274	11	9	25%	8%	69	-0.4	.159/.240/.258	.100	.199	9	4	24%	9%	32	-0.6
✕Alberto Castillo 2003 · MLB	33	43	39→30	46→30	48	.208/.271/.294	.087	.253	7	6	20%	7%	56	-1.3	.229/.298/.353	.124	.271	12	7	19%	9%	83	+0.6	.235/.311/.307	.073	.284	2	2	17%	10%	74	-0.0
✕Sandy León 2023 · MLB	34	40→50	43→45	46→30	50	.199/.282/.300	.101	.257	11	4	26%	10%	64	-0.8	.190/.272/.293	.103	.268	12	4	31%	9%	58	-1.2	.150/.234/.248	.098	.215	14	2	36%	9%	29	-1.1
✕Alcides Escobar 2021 · MLB	34	47→57	42→45	48→55	46	.230/.276/.337	.108	.264	9	9	17%	6%	69	-0.4	.248/.295/.366	.118	.301	10	8	20%	5%	85	+0.7	.256/.302/.366	.110	.314	8	6	20%	4%	85	+0.4
✕Trinidad Robles 2008 · AAA	35	49	44→40	47→45	46	.241/.294/.360	.119	.288	12	10	21%	6%	83	+0.6	.219/.273/.304	.085	.272	7	7	21%	6%	59	-1.1	.220/.277/.248	.028	.287	0	0	21%	5%	43	-0.9
✕Tuffy Gosewisch 2018 · MLB	34	41→44	43→45	47→40	44	.205/.264/.314	.108	.255	10	4	24%	6%	59	-1.1	.196/.261/.297	.101	.261	9	4	27%	6%	53	-1.5	.170/.243/.254	.084	.231	7	0	28%	7%	34	-0.9
✕Doug Bernier 2015 · MLB	35	49→55	39→40	45	44	.234/.289/.325	.091	.300	6	7	23%	6%	71	-0.3	.232/.287/.319	.087	.297	8	6	23%	6%	69	-0.4	.224/.281/.296	.073	.289	7	4	24%	6%	57	-0.7
✕Juan Graterol 2022 · MLB	33	48	39→40	45→30	45	.229/.275/.308	.079	.255	7	5	14%	4%	61	-1.0	.229/.277/.329	.100	.257	9	10	15%	4%	68	-0.5	.220/.260/.303	.083	.238	7	10	10%	2%	50	-0.4
✕Ramon Santiago 2014 · MLB	34	47→52	40→45	44→50	52	.222/.290/.310	.088	.251	7	3	14%	8%	69	-0.4	.226/.303/.308	.082	.270	6	7	17%	9%	74	-0.1	.222/.304/.272	.049	.274	3	6	18%	9%	60	-0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)