Neurelin Montero

Neurelin MonteroC DSL Rangers Red

Age 20 R/R 5'10" / 170 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.8 · 2032

wRC+64

AVG/OBP/SLG.208 / .280 / .306

PA53

HR1

K%29

BB%8

MLB%0%

trajectory · 10 yrs

2.8peak

2032

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	+2.8	$27M	+$26M
2033	Ext / FA-deal	$1.0M	+2.8	$28M	+$27M
2034	Ext / FA-deal	$1.0M	+2.7	$27M	+$26M
2035	Ext / FA-deal	$5M	+2.5	$26M	+$21M
2036	Ext / FA-deal	$7M	+2.2	$24M	+$16M
2037	Ext / FA-deal	$9M	+1.9	$21M	+$12M
Totals		$24M		$152M	+$128M

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
2023	17	ROK	DSL Rangers Red	77	61	12	2	0	0	11	19	5	0	2	.197	.364	.230	.593	.033	.286	25	14	.287	78	-2	-1	+0	+1	+2	0.1
2024	18	ROK	DSL Rangers Red	88	63	8	2	0	0	14	23	11	0	0	.127	.375	.159	.534	.032	.200	26	16	.276	69	-3	+0	+0	+2	+2	0.1
2025	19	ROK	DSL Rangers Red	46	41	8	2	0	0	3	17	2	1	0	.195	.283	.244	.527	.049	.333	37	7	.258	56	-2	+0	+0	+1	+1	0.0
▸ 2026 Season
2026	20	MLB	—	53	48	10	2	0	1	4	15	1	1	0	.208	.283	.312	.596	.104	.289	28	8	.269	64	-2	+0	+0	+1	+2	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	—	141	126	28	5	1	3	12	39	2	2	1	.222	.300	.349	.649	.127	.292	28	9	.291	81	-3	+0	+0	+3	+4	0.4
2028	22	MLB 28%	—	280	249	57	10	2	7	25	74	4	5	1	.229	.309	.369	.679	.141	.293	26	9	.303	90	-3	+1	+0	+5	+8	1.1
2029	23	MLB 48%	—	378	335	77	14	2	10	35	98	5	7	2	.230	.312	.373	.685	.143	.294	26	9	.311	96	-2	+1	+0	+7	+11	1.7
2030	24	MLB 62%	—	445	394	92	16	3	13	42	113	6	9	2	.234	.317	.388	.705	.155	.294	25	9	.316	100	+0	+1	+0	+8	+13	2.2
2031	25	MLB 80%	—	484	427	101	18	3	14	47	122	7	10	2	.237	.322	.391	.713	.155	.295	25	10	.320	103	+2	+1	+0	+9	+14	2.6
2032	26	MLB 94%	—	506	444	105	18	3	15	50	128	7	10	2	.236	.323	.392	.715	.155	.296	25	10	.322	104	+2	+1	+0	+9	+14	2.8
2033	27	MLB	—	516	452	107	19	3	15	51	131	8	10	2	.237	.325	.392	.716	.155	.296	25	10	.322	104	+3	+1	+0	+9	+15	2.8
2034	28	MLB	—	518	453	107	19	3	15	52	133	8	9	1	.236	.326	.391	.716	.155	.295	26	10	.321	103	+2	+1	-1	+9	+15	2.7
2035	29	MLB	—	512	448	105	18	3	15	52	132	7	8	1	.234	.323	.388	.712	.154	.294	26	10	.318	102	+1	+1	-1	+9	+15	2.5
2036	30	MLB	—	504	441	102	18	3	14	51	132	7	7	1	.231	.321	.381	.702	.150	.293	26	10	.315	99	-0	+1	-2	+9	+14	2.2
2037	31	MLB	—	477	419	96	17	3	13	48	127	7	4	0	.229	.319	.377	.696	.148	.292	27	10	.312	97	-2	+1	-3	+9	+14	1.9
2038	32	MLB	—	446	392	87	15	2	12	45	121	6	2	0	.222	.312	.362	.674	.140	.290	27	10	.307	93	-4	+0	-4	+8	+13	1.4
2039	33	MLB	—	405	355	77	13	2	10	41	113	6	0	0	.217	.308	.349	.658	.132	.288	28	10	.301	89	-5	+0	-4	+7	+11	1.0
2040	34	MLB	—	352	309	67	11	2	9	35	101	5	0	0	.217	.307	.353	.659	.136	.287	29	10	.295	84	-6	+0	-5	+6	+10	0.5
2041	35	MLB	—	294	259	55	9	2	7	29	87	4	0	0	.212	.301	.344	.645	.131	.284	30	10	.287	78	-7	+0	-6	+5	+8	0.1
2042	36	MLB	—	236	208	42	7	1	5	23	73	3	0	0	.202	.291	.317	.608	.115	.282	31	10	.278	71	-8	+0	-6	+4	+7	-0.3
2043	37	MLB	—	177	156	30	5	1	3	17	56	2	0	0	.192	.280	.295	.575	.103	.278	32	10	.269	64	-7	+0	-7	+3	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			6935	6080	1373	240	39	181	687	1854	113	85	17	.226	.316	.367	.683	.142	.292	27	10	.308	94	-47	+10	-38	+124	+196	25.0
/ 162G	—			650	570	129	22	4	17	64	174	11	8	2	.226	.316	.368	.685	.142	.293	27	10	.308	94	-4	+1	-4	+12	+18	2.3

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
2023	17	ROK	DSL Rangers Red	77	53	14	3	0	0	19	13	5	0	2	.264	.494	.321	.814	.057	.350	17	25	.399	164	+6	-1	—	—	+2	0.7
2024	18	ROK	DSL Rangers Red	88	55	11	3	1	0	22	15	11	0	0	.200	.500	.291	.791	.091	.275	17	25	.400	165	+6	+0	—	—	+2	0.9
2025	19	ROK	DSL Rangers Red	46	38	12	3	0	1	6	12	2	1	0	.316	.435	.474	.908	.158	.440	26	13	.409	171	+4	+0	—	—	+1	0.5

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
Neurelin Montero (OGILVIE)	20	—	—	—	—	.208/.280/.306	.098	.289	1	1	29%	8%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Randy Florentino 2019 · A	19	46	44→50	45	51	.220/.307/.353	.132	.309	10	8	30%	11%	87	+0.8	.194/.270/.290	.096	.293	8	5	33%	9%	56	-1.3	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Jeferson Quero 2022 · A	19	48→45	43→50	47→45	50	.231/.307/.347	.116	.285	10	9	22%	8%	85	+0.7	.226/.277/.353	.127	.290	14	8	26%	6%	74	-0.1	.224/.279/.364	.140	.271	17	6	24%	6%	75	+0.0
✕Richi Sanchez 2014 · A	20	51	40→45	50	56	.242/.330/.341	.100	.294	6	9	19%	11%	93	+1.3	.219/.290/.298	.079	.284	3	7	22%	8%	65	-0.7	.202/.252/.280	.079	.255	0	6	20%	6%	40	-0.6
●Max Ramirez 2006 · A	21	51→52	44→55	43→40	46	.250/.307/.372	.122	.308	12	4	22%	7%	92	+1.2	.247/.323/.392	.145	.323	16	3	27%	9%	104	+2.0	.250/.335/.416	.166	.325	20	2	27%	10%	113	+2.0
✕Ramon Santana 2007 · A	21	47→53	46→45	51→45	50	.231/.315/.365	.134	.294	14	5	25%	9%	94	+1.3	.216/.287/.331	.115	.306	10	8	31%	7%	73	-0.1	.218/.286/.331	.113	.315	10	8	32%	6%	70	-0.2
✕Yeiner Fernandez 2023 · A	20	51→52	42→40	42→45	46	.247/.307/.349	.102	.301	9	4	21%	6%	85	+0.7	.233/.297/.317	.084	.279	7	5	18%	7%	73	-0.1	.225/.290/.290	.065	.266	4	5	16%	6%	61	-0.7
●Angel Salome 2007 · A	21	50→60	46→50	47→45	44	.249/.285/.386	.137	.282	14	6	18%	5%	85	+0.7	.271/.307/.410	.139	.318	13	4	18%	5%	101	+1.8	.290/.326/.430	.140	.343	13	2	19%	4%	113	+1.5
●Ryan Jeffers 2019 · A	22	52→54	43→60	44→40	48	.250/.320/.362	.112	.314	10	4	23%	8%	95	+1.4	.224/.290/.355	.131	.299	16	2	29%	7%	81	+0.4	.248/.335/.427	.180	.291	22	3	22%	9%	114	+1.9
✕Jorge Puerta 2022 · A	20	46	45→30	51→40	52	.228/.308/.353	.125	.268	13	8	20%	9%	88	+0.9	.224/.307/.340	.116	.287	11	4	24%	9%	85	+0.7	.217/.307/.319	.102	.292	9	2	27%	9%	77	+0.1
✕Andrew Knizner 2017 · A	22	49	44→50	48→40	48	.239/.314/.358	.119	.271	11	4	16%	6%	92	+1.2	.249/.298/.369	.120	.284	13	3	17%	5%	87	+0.8	.250/.298/.373	.123	.283	15	2	17%	5%	86	+0.5
✕Mark Karaviotis 2017 · A	21	50	41→40	41→40	46	.234/.326/.338	.104	.320	7	6	27%	8%	92	+1.2	.230/.306/.324	.094	.328	7	4	30%	8%	79	+0.3	.223/.299/.304	.082	.318	7	3	29%	8%	69	-0.2
✕Julio E. Rodriguez 2017 · A	20	47	48→50	50→30	48	.234/.294/.381	.147	.268	15	4	19%	7%	89	+0.9	.218/.260/.341	.123	.269	12	2	23%	5%	63	-0.8	.190/.268/.324	.134	.254	21	2	33%	9%	61	-0.4
●Gary Sánchez 2011 · A	18	49→51	47→65	46→45	39	.239/.293/.375	.135	.327	14	5	30%	6%	86	+0.8	.220/.268/.368	.148	.299	18	6	32%	5%	75	-0.0	.232/.315/.480	.248	.254	37	1	26%	9%	119	+2.3
●Derek Norris 2010 · A	21	42→52	52→55	45→50	47	.217/.293/.381	.164	.280	20	5	29%	9%	89	+0.9	.205/.301/.370	.165	.275	20	8	31%	11%	90	+1.0	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
●Chance Sisco 2015 · A	20	57→63	39→50	43→40	43	.266/.315/.356	.089	.343	6	3	23%	6%	90	+1.0	.262/.316/.359	.097	.339	8	5	23%	7%	92	+1.2	.262/.322/.364	.102	.343	9	4	25%	7%	92	+0.9
✕Héctor Sánchez 2009 · A	19	50→49	42→50	47→30	51	.243/.316/.355	.112	.284	9	5	18%	8%	91	+1.1	.236/.291/.341	.105	.287	8	3	20%	6%	76	+0.1	.246/.283/.364	.119	.300	13	0	22%	4%	77	+0.1
✕Nevin Ashley 2007 · A	22	52→50	41→45	48→45	42	.238/.313/.340	.101	.344	9	9	31%	7%	86	+0.8	.225/.291/.326	.101	.304	9	10	27%	7%	73	-0.1	.227/.296/.347	.120	.292	12	4	25%	7%	79	+0.1
✕Daniel Vellojin 2022 · A	22	45	43→45	45	55	.219/.316/.335	.117	.281	10	7	24%	11%	87	+0.8	.189/.276/.300	.111	.271	12	5	32%	10%	61	-1.0	.156/.243/.246	.090	.223	11	4	33%	10%	31	-1.3
✕Eddys Leonard 2022 · A	21	46	51→50	47→45	42	.231/.299/.393	.162	.316	19	7	32%	7%	95	+1.4	.224/.287/.370	.146	.291	16	6	28%	6%	83	+0.6	.214/.276/.357	.142	.275	16	6	27%	5%	72	-0.2
●Kurt Suzuki 2006 · A	22	48→58	45→60	46→45	52	.235/.311/.366	.130	.266	12	6	17%	8%	92	+1.2	.246/.319/.359	.113	.283	10	4	16%	8%	93	+1.3	.267/.333/.477	.210	.262	28	0	12%	6%	128	+2.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)