Moises Rangel — OGILVIE

Moises RangelC DSL LAD Bautista

Age 18 R/R 5'10" / 190 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION88 act + 9 ros · stats below = ROS only

showingROS

wRC+†70

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP279

ISO81

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$42M ctrl surplus

Tools · Contract

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	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2033	Pre-Arb	$1.0M	+0.9	$2M	+$2M
2034	Pre-Arb	$1.0M	+1.0	$4M	+$4M
2035	Arb-1	$4M	+0.9	$2M	+$0.3M
2036	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2037	Arb-3	$8M	+0.8	$1M	+$0.0M (cut)
Totals		$7M		$14M	+$8M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	17	ROK	DSL LAD Mega	—	82	67	14	0	0	2	13	23	2	1	0	209	354	299	652	90	286	28	16	312	97	-0	+0	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL LAD Mega	—	82	72	10	0	0	1	8	35	2	1	0	139	244	181	424	42	233	43	10	204	24	-7	+0	—	—	+2	-0.6
2025	17	ROK MLE	DSL LAD Mega	—	82	72	10	0	0	1	8	35	2	1	0	139	244	181	424	42	250	43	10	204	24	—	—	—	—	—	—
2025	17	ROK RAW	DSL LAD Mega	—	82	67	14	0	0	2	13	23	2	1	0	209	354	299	652	90	286	28	16	312	24	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Mega	—	82	72	10	0	0	1	8	35	2	1	0	139	244	181	424	42	233	43	10	204	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL LAD Mega	—	82	72	10	0	0	1	8	35	2	1	0	139	244	181	424	42	233	43	10	204	24	—	—	—	—	—	—
YTD	18	ROK MLE	LAD	—	88	70	13	1	0	1	15	23	2	4	3	186	345	243	588	57	255	26	17	281	76	-2	-0	+0	+2	+2	0.1
▸ 2026 season
YTD	18	ROK RAW	LAD	—	88	61	16	2	0	1	24	16	2	4	3	262	483	344	827	82	333	18	27	393	76	—	—	—	—	—	—
ROS	18	ROK MLE	LAD	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		283	33	11	271	70	-0	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	LAD	—	97	78	14	1	0	1	16	26	2	4	3	179	333	231	564	51	250	27	16	280	76	-3	-0	+0	+2	+2	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	LAD	34%	167	145	30	4	1	2	18	45	2	2	1	207	303	290	593	83	288	27	11	282	77	-5	+0	+0	+3	+4	0.2
2028	20	MLB MLE	LAD	48%	311	271	59	9	1	5	32	83	5	3	1	218	312	314	625	96	290	27	10	290	83	-6	+0	+0	+6	+7	0.6
2029	21	MLB MLE	LAD	54%	421	367	81	12	2	8	44	111	7	4	2	221	316	330	645	109	291	26	10	296	86	-7	+0	+0	+8	+9	1.0
2030	22	MLB MLE	LAD	57%	500	436	98	15	2	10	52	130	8	5	2	225	319	337	656	112	292	26	10	299	89	-7	+0	+0	+9	+11	1.4
2031	23	MLB MLE	LAD	58%	520	453	102	15	2	11	54	135	8	5	2	225	318	340	658	115	293	26	10	302	90	-6	+0	+0	+9	+11	1.5
2032	24	MLB MLE	LAD	57%	520	453	103	15	3	11	54	135	8	5	2	227	320	347	667	119	294	26	10	304	92	-5	+0	+0	+9	+11	1.6
2033	25	MLB MLE	LAD	57%	520	453	104	15	3	12	54	134	8	5	2	230	322	355	678	126	294	26	10	305	93	-5	+0	+0	+9	+11	1.7
2034	26	MLB MLE	LAD	57%	520	453	103	15	2	12	54	134	8	5	2	227	320	349	669	121	294	26	10	306	93	-4	+0	+0	+9	+11	1.7
2035	27	MLB MLE	LAD	55%	520	452	102	15	2	12	55	135	8	5	2	226	320	347	668	122	293	26	11	306	93	-4	+0	+0	+9	+11	1.7
2036	28	MLB MLE	LAD	55%	520	451	102	15	2	12	56	135	8	5	2	226	322	348	670	122	293	26	11	305	92	-5	+0	-1	+9	+11	1.6
2037	29	MLB MLE	LAD	53%	520	451	102	15	2	12	56	136	8	5	2	226	322	348	670	122	292	26	11	303	91	-5	+0	-1	+9	+11	1.4
2038	30	MLB MLE	LAD	53%	520	451	101	15	2	11	56	138	8	5	2	224	320	339	660	115	291	27	11	300	89	-7	+0	-2	+9	+11	1.2
2039	31	MLB MLE	LAD	52%	504	437	96	14	2	10	54	135	8	5	2	220	317	330	646	110	288	27	11	296	86	-8	+0	-3	+9	+11	0.9
2040	32	MLB MLE	LAD	52%	489	427	92	13	2	10	52	133	7	4	2	215	311	326	636	110	285	27	11	291	83	-10	+0	-4	+9	+11	0.6
2041	33	MLB MLE	LAD	56%	473	413	87	12	2	9	50	131	7	4	2	211	306	315	621	104	281	28	11	284	79	-12	+0	-4	+8	+10	0.2
2042	34	MLB MLE	LAD	52%	430	375	76	10	2	7	46	122	6	4	1	203	300	296	596	93	276	28	11	276	73	-14	+0	-5	+8	+9	-0.1
2027	19	MLB CTX	LAD	34%	57	50	10	1	0	1	6	16	1	1	0	200	298	280	578	80	284	28	11	270	77	-2	+0	+0	+1	+1	0.1
2028	20	MLB CTX	LAD	48%	151	132	29	4	1	3	16	40	2	2	1	220	313	333	647	114	286	26	11	277	83	-3	+0	+0	+3	+3	0.3
2029	21	MLB CTX	LAD	54%	228	198	44	6	1	5	24	60	4	2	1	222	319	338	657	116	287	26	11	283	86	-4	+0	+0	+4	+5	0.5
2030	22	MLB CTX	LAD	57%	283	248	55	8	1	6	29	74	4	3	1	222	313	335	648	113	288	26	10	286	89	-4	+0	+0	+5	+6	0.8
2031	23	MLB CTX	LAD	58%	299	261	59	9	1	7	31	78	5	3	1	226	320	349	669	123	289	26	10	289	90	-3	+0	+0	+5	+6	0.9
2032	24	MLB CTX	LAD	57%	296	258	59	9	1	7	31	77	5	3	1	229	323	353	676	124	289	26	10	291	92	-3	+0	+0	+5	+6	0.9
2033	25	MLB CTX	LAD	57%	295	257	57	8	1	7	31	76	5	3	1	222	317	342	660	121	290	26	11	292	93	-3	+0	+0	+5	+6	0.9
2034	26	MLB CTX	LAD	57%	294	256	57	8	1	7	31	76	5	3	1	223	318	344	662	121	289	26	11	293	93	-2	+0	+0	+5	+6	1.0
2035	27	MLB CTX	LAD	55%	289	251	56	8	1	7	31	75	5	3	1	223	321	347	667	124	289	26	11	293	93	-2	+0	+0	+5	+6	0.9
2036	28	MLB CTX	LAD	55%	286	248	56	8	1	7	31	74	5	3	1	226	324	351	675	125	289	26	11	292	92	-3	+0	-0	+5	+6	0.9
2037	29	MLB CTX	LAD	53%	278	242	54	8	1	6	30	73	4	3	1	223	319	339	658	116	288	26	11	290	91	-3	+0	-1	+5	+6	0.8
2038	30	MLB CTX	LAD	53%	274	239	52	7	1	6	29	73	4	3	1	218	312	331	643	113	287	27	11	287	89	-4	+0	-1	+5	+6	0.7
2039	31	MLB CTX	LAD	52%	263	229	50	7	1	6	28	70	4	2	1	218	314	336	650	118	284	27	11	283	86	-4	+0	-1	+5	+6	0.5
2040	32	MLB CTX	LAD	52%	254	221	46	6	1	5	27	69	4	2	1	208	306	312	618	104	281	27	11	278	83	-5	+0	-2	+5	+6	0.3
2041	33	MLB CTX	LAD	56%	265	231	48	6	1	5	28	73	4	2	1	208	304	307	612	100	277	28	11	272	79	-7	+0	-2	+5	+6	0.1
2042	34	MLB CTX	LAD	52%	221	193	39	5	1	4	23	63	3	2	1	202	297	301	597	98	272	29	10	264	73	-7	+0	-3	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4033	3514	771	108	15	89	426	1067	64	40	15	219	315	335	650	115	287	26	11	285	87	-58	+2	-10	+72	+87	9.5
/ 162G	—	A+C		—	650	566	123	17	2	14	69	172	10	6	2	217	313	329	641	111	285	26	11	285	87	-9	+0	-2	+12	+14	1.5
Career	—	MLE		—	7546	6568	1449	209	32	155	796	2010	116	72	29	221	316	333	649	112	291	27	11	297	87	-110	+3	-20	+133	+162	17.2
/ 162G	—	MLE		—	650	566	125	18	3	13	69	173	10	6	2	221	316	332	648	111	292	27	11	297	87	-10	+0	-2	+12	+14	1.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jason Castrolast yr '22 career totals — 12 seasons, 3,381 PA	5.1	3,381	97	6	227	312	387	+60	+77	22.5	21.6
/162	664	19	1	+11.9	+15.1	4.4	pk7: 21
#2Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#5Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.2	4,108	85	39	222	314	337	+73	+36	12.6	10.1
/162	664	14	6	+11.9	+5.8	2.0	pk7: 8

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	—	—	—	—	203/299/279	76	283	1	1	28%	11%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Carlos Rodriguez 2022 · A	19	39	41→45	46→45	48	183/286/282	99	291	8	6	36%	11%	66	-1.1	184/261/262	78	291	6	6	35%	9%	51	-2.3	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Jose Ovalles 2012 · A	18	42	40→45	47→40	52	202/296/293	91	253	8	4	22%	10%	72	-0.7	208/277/318	110	251	9	5	20%	7%	70	-0.9	202/266/322	119	235	10	4	18%	6%	64	-0.4
✕Michael Arroyo 2023 · A	18	48→46	42→50	44→50	46	226/320/334	108	300	8	7	26%	8%	90	+0.6	212/310/340	128	285	12	8	28%	8%	88	+0.4	217/303/361	144	274	17	12	26%	7%	88	+0.4
✕Jonathan Galvez 2009 · A	18	45→48	39→45	51→55	53	209/310/290	81	290	7	9	27%	11%	76	-0.4	212/285/327	115	307	10	14	32%	8%	74	-0.5	235/283/350	115	329	10	23	30%	5%	76	-0.3
✕Ronaldo Hernández 2016 · A	18	44	37→50	50→45	43	208/271/281	73	270	4	6	23%	6%	58	-1.7	242/287/359	117	276	12	5	17%	5%	82	-0.0	243/286/377	134	275	16	5	18%	5%	84	+0.1
✕Ramon Mendoza 2019 · A	18	46→49	41→45	48→45	46	220/292/328	108	287	7	4	25%	7%	77	-0.3	209/280/296	87	296	5	4	29%	7%	65	-1.2	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Aderlin Rodríguez 2010 · A	18	46→48	39→55	46→30	42	217/277/301	85	310	6	7	31%	7%	65	-1.2	213/251/356	143	261	18	3	26%	4%	68	-1.0	238/283/415	178	287	23	1	26%	4%	92	+0.5
✕Bo Naylor 2019 · A	19	44→43	39→55	52→50	46	210/278/299	89	296	6	9	30%	8%	65	-1.2	190/247/308	118	273	11	8	33%	7%	55	-1.9	213/305/387	174	267	21	12	27%	11%	94	+0.7
●Moisés Ballesteros 2022 · A	18	45→55	40→50	50→40	52	216/294/311	95	269	7	8	22%	9%	74	-0.5	225/287/355	130	281	15	4	24%	8%	81	-0.1	255/314/382	127	304	14	3	20%	7%	96	+0.9
✕Jhostynxon Garcia 2022 · A	19	43→41	41→50	47→50	51	206/290/306	101	284	7	8	28%	10%	72	-0.7	190/261/308	118	286	11	9	35%	8%	61	-1.5	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Rodolfo Castro 2017 · A	18	43→41	38→55	48→50	43	202/265/291	89	290	5	5	30%	7%	58	-1.7	196/241/316	120	278	11	5	32%	5%	55	-2.0	206/269/359	153	269	19	7	30%	7%	74	-0.4

Career Stats + Projections

Career Comps

Career Path Comps