Moises Rangel — OGILVIE

Moises RangelC DSL LAD Mega

Age 18 R/R 5'10" / 190 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.5 · 2034

wRC+53

AVG/OBP/SLG.200 / .265 / .289

PA75

HR1

K%32

BB%7

MLB%0%

trajectory · 10 yrs

3.5peak

2034

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext / FA-deal	$0.9M	+3.3	$32M	+$31M
2033	Ext / FA-deal	$1.0M	+3.4	$33M	+$32M
2034	Ext / FA-deal	$1.0M	+3.5	$35M	+$34M
2035	Ext / FA-deal	$7M	+3.5	$37M	+$30M
2036	Ext / FA-deal	$11M	+3.4	$37M	+$25M
2037	Ext / FA-deal	$16M	+3.2	$35M	+$20M
Totals		$37M		$209M	+$172M

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
2025	17	ROK	DSL LAD Mega	82	72	9	0	0	1	8	36	2	1	0	.125	.232	.167	.398	.042	.229	44	10	.201	12	-8	+0	+0	+1	+2	-0.4
▸ 2026 Season
2026	18	MLB	—	75	69	14	2	1	1	5	24	1	1	0	.203	.267	.304	.571	.101	.290	32	7	.254	53	-4	+0	+0	+1	+2	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	19	MLB 11%	—	167	149	33	6	1	3	14	49	2	3	1	.221	.297	.336	.633	.114	.305	29	8	.289	79	-4	+0	+0	+3	+5	0.4
2028	20	MLB 28%	—	311	277	64	11	2	7	27	89	4	7	2	.231	.308	.361	.669	.130	.311	29	9	.304	90	-3	+1	+0	+6	+9	1.2
2029	21	MLB 48%	—	421	373	89	15	3	11	39	117	6	11	3	.239	.321	.383	.704	.145	.311	28	9	.312	97	-1	+1	+0	+8	+12	2.0
2030	22	MLB 65%	—	500	441	105	17	3	14	48	136	7	14	3	.238	.323	.385	.708	.147	.312	27	10	.320	103	+2	+2	+0	+9	+14	2.7
2031	23	MLB 86%	—	520	457	112	18	4	16	51	139	7	15	3	.245	.330	.407	.737	.162	.312	27	10	.326	108	+5	+2	+0	+9	+15	3.1
2032	24	MLB	—	520	455	112	18	4	16	53	138	7	15	3	.246	.334	.409	.743	.163	.312	27	10	.330	111	+6	+2	+0	+9	+15	3.3
2033	25	MLB	—	520	454	112	18	4	16	54	137	7	15	3	.247	.336	.410	.746	.163	.313	26	10	.333	113	+8	+2	+0	+9	+15	3.4
2034	26	MLB	—	520	453	113	18	4	17	55	137	7	15	3	.249	.340	.419	.759	.170	.314	26	11	.335	115	+9	+2	+0	+9	+15	3.5
2035	27	MLB	—	520	453	112	18	3	17	55	137	7	15	3	.247	.338	.413	.751	.166	.314	26	11	.335	115	+9	+2	+0	+9	+15	3.5
2036	28	MLB	—	520	452	111	18	3	17	56	138	7	14	2	.246	.338	.412	.749	.166	.313	27	11	.334	114	+8	+2	-1	+9	+15	3.4
2037	29	MLB	—	520	452	110	18	3	16	56	140	7	13	2	.243	.336	.403	.739	.159	.313	27	11	.332	112	+7	+2	-1	+9	+15	3.2
2038	30	MLB	—	520	452	109	18	3	16	56	141	7	12	2	.241	.334	.400	.734	.159	.311	27	11	.329	110	+6	+2	-2	+9	+15	3.0
2039	31	MLB	—	504	438	105	17	3	15	54	139	7	9	1	.240	.333	.395	.728	.155	.310	28	11	.325	107	+4	+1	-3	+9	+14	2.6
2040	32	MLB	—	489	426	100	16	3	14	53	138	7	7	0	.235	.329	.385	.714	.150	.308	28	11	.320	103	+2	+1	-4	+9	+14	2.3
2041	33	MLB	—	473	413	95	15	3	13	51	136	6	5	0	.230	.323	.375	.699	.145	.307	29	11	.315	99	-1	+1	-4	+8	+13	1.9
2042	34	MLB	—	430	375	85	13	3	11	46	128	6	3	0	.227	.321	.365	.686	.139	.305	30	11	.308	94	-3	+1	-5	+8	+12	1.3
2043	35	MLB	—	368	321	71	11	2	9	39	113	5	2	0	.221	.315	.352	.667	.131	.303	31	11	.301	88	-5	+0	-6	+7	+10	0.7
2044	36	MLB	—	305	266	57	8	2	7	32	97	4	1	0	.214	.308	.338	.646	.124	.301	32	10	.292	81	-6	+0	-6	+5	+9	0.2
2045	37	MLB	—	243	213	43	6	1	5	25	79	3	1	0	.202	.295	.310	.604	.108	.297	33	10	.282	74	-7	+0	-7	+4	+7	-0.3
2046	38	MLB	—	181	159	31	4	1	3	18	61	2	0	0	.195	.285	.289	.574	.094	.292	34	10	.271	66	-7	+0	-8	+3	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8709	7620	1792	285	56	245	895	2449	118	179	31	.235	.325	.384	.709	.149	.311	28	10	.318	101	+15	+23	-46	+156	+247	40.2
/ 162G	—			650	569	133	21	4	18	67	183	9	13	2	.234	.324	.380	.704	.146	.310	28	10	.318	101	+1	+2	-3	+12	+18	3.0

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
2025	17	ROK	DSL LAD Mega	82	67	14	0	0	2	13	23	2	1	0	.209	.354	.299	.652	.090	.286	28	16	.312	97	-0	+0	—	—	+2	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
Moises Rangel (OGILVIE)	18	—	—	—	—	.200/.265/.289	.089	.290	1	1	32%	7%	53	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Wilin Rosario 2007 · A	18	42→52	38→60	47→45	36	.201/.246/.271	.071	.298	6	7	34%	5%	39	-2.5	.204/.247/.300	.096	.302	9	5	34%	5%	47	-1.9	.265/.302/.457	.192	.301	26	4	21%	5%	107	+1.6
★Carlos Correa 2013 · A	18	42→52	40→60	51→55	37	.205/.244/.299	.094	.289	6	8	31%	5%	45	-2.1	.257/.317/.390	.133	.320	11	13	22%	7%	100	+1.7	.284/.360/.488	.204	.328	24	14	20%	10%	137	+4.4
●Maikel Franco 2011 · A	18	39→49	38→55	49→40	39	.190/.242/.270	.080	.272	5	4	31%	5%	37	-2.6	.217/.256/.335	.118	.271	12	3	24%	4%	60	-1.0	.263/.299/.434	.171	.290	19	2	17%	4%	100	+1.6
●Tim Beckham 2009 · A	19	42→52	38→55	49→50	38	.202/.248/.282	.080	.290	5	7	31%	5%	43	-2.2	.219/.267/.307	.088	.310	5	10	29%	5%	57	-1.2	.248/.301/.421	.173	.319	22	4	28%	6%	100	+1.3
●Brandon Drury 2011 · A	18	36→46	38→60	45→40	33	.178/.219/.255	.076	.265	6	5	34%	4%	24	-3.6	.214/.245/.320	.106	.267	10	3	23%	3%	51	-1.7	.254/.305/.458	.204	.301	25	1	24%	6%	112	+2.0
✕Jhonny Pereda 2014 · A	18	39→48	37→45	47→40	44	.190/.244/.262	.072	.250	5	4	25%	6%	36	-2.7	.193/.250/.256	.063	.231	4	3	17%	6%	37	-2.7	.276/.346/.381	.105	.365	9	0	25%	9%	105	+0.9
●Mark Vientos 2018 · A	18	43→50	40→60	42→30	38	.207/.253/.302	.095	.293	8	4	31%	5%	50	-1.7	.206/.255/.327	.121	.274	14	3	29%	6%	59	-1.1	.246/.306/.451	.204	.321	28	0	31%	7%	109	+2.0
✕Andres Regnault 2018 · A	19	39	38→55	47→45	39	.185/.251/.256	.071	.289	6	6	36%	7%	39	-2.5	.226/.287/.352	.126	.291	13	7	26%	6%	79	+0.3	.248/.309/.417	.169	.290	19	6	21%	6%	103	+0.7
●José Fermín 2017 · A	18	43→51	38→45	48→55	44	.204/.260/.288	.084	.278	4	8	27%	7%	50	-1.8	.202/.252/.277	.075	.241	4	10	17%	5%	43	-2.2	.241/.336/.380	.139	.254	14	26	11%	10%	103	+0.9
●Cheslor Cuthbert 2011 · A	18	42→52	41→50	49→45	35	.201/.249/.301	.100	.304	7	6	35%	5%	49	-1.8	.215/.263/.317	.102	.277	10	4	25%	6%	59	-1.1	.250/.304/.396	.146	.292	17	1	20%	7%	95	+0.7
●Alex Liddi 2007 · A	18	43→53	39→60	52→50	35	.205/.243/.299	.094	.302	6	10	33%	4%	44	-2.1	.213/.261/.326	.113	.308	9	8	32%	5%	59	-1.1	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
✕Brendan Rodgers 2016 · A	19	43→53	40→50	46→45	39	.205/.255/.298	.093	.301	7	7	33%	6%	50	-1.8	.224/.267/.352	.128	.288	14	5	27%	4%	69	-0.4	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
●Renato Núñez 2012 · A	18	41→51	41→60	43→30	35	.205/.239/.302	.097	.278	9	4	30%	3%	44	-2.1	.212/.255/.338	.126	.283	13	4	29%	4%	61	-1.0	.238/.308/.452	.215	.278	31	1	26%	7%	111	+1.7
●Franmil Reyes 2013 · A	18	42→52	40→65	50→45	42	.204/.266/.299	.095	.285	6	10	29%	7%	55	-1.4	.208/.259/.302	.094	.287	7	6	28%	6%	53	-1.5	.256/.325/.480	.224	.314	34	0	29%	9%	126	+2.6
✕Pedro Severino 2012 · A	19	38→48	39→50	49→45	40	.187/.241/.272	.084	.263	6	5	30%	6%	37	-2.6	.189/.233/.264	.075	.239	5	3	22%	4%	31	-3.0	.246/.315/.384	.137	.304	17	3	24%	8%	95	+0.7
●Jose Alvarez 2008 · A	19	41→51	38→60	49→50	38	.197/.247/.279	.082	.270	5	8	28%	5%	42	-2.3	.198/.241/.288	.090	.275	6	8	29%	3%	41	-2.3	.293/.324/.482	.189	.318	26	9	17%	2%	126	+2.8
●Yonathan Perlaza 2017 · A	18	42→52	39→60	48→50	39	.202/.246/.290	.088	.283	6	14	30%	5%	43	-2.2	.205/.246/.278	.073	.299	4	11	31%	5%	40	-2.4	.235/.307/.417	.182	.303	19	12	28%	9%	100	+1.6
●Amed Rosario 2015 · A	19	39→49	40→50	43→55	36	.196/.231/.287	.092	.270	7	5	30%	4%	37	-2.7	.236/.274/.327	.091	.314	4	12	25%	4%	64	-0.8	.286/.323/.422	.136	.344	12	14	20%	5%	107	+1.7
●Eloy Jiménez 2016 · A	19	40→50	40→65	49→40	39	.197/.240/.291	.094	.269	7	7	29%	5%	41	-2.3	.251/.286/.404	.153	.321	16	4	26%	4%	91	+1.1	.273/.314/.492	.219	.314	30	0	23%	5%	125	+2.3
✕Yairo Muñoz 2013 · A	18	42→52	37→50	48→55	41	.197/.249/.277	.080	.278	3	8	29%	6%	42	-2.3	.201/.252/.287	.086	.261	6	7	24%	6%	46	-2.0	.270/.315/.386	.116	.325	11	18	20%	5%	92	+0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)