Moises Rangel

C DSL LAD Bautista

Age 19 R/R 5'10" / 190 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1266ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL LAD Mega	82	.209/.354/.299	2	1	21	—	.127/.244/.169
2026	18	ROKDSL LAD Bauti…	88	.262/.483/.344	1	4	70	—	.162/.345/.221
2027PROJMLE	19	MLBLAD	198	.207/.296/.278	2	2	67	0.0
2028PROJ34% MLB	20	MLBLAD	36	.208/.298/.287	0	0	72	0.0
2029PROJ48% MLB	21	MLBLAD	96	.212/.301/.300	1	1	76	0.1

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

BB%97

Z-Con%94

wOBA84

Chase%81

wRC+80

Whiff%72

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsCarlos Cauro (age 19) · Chris Suero (age 19) · Carlos Rodriguez (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 49 proj PA

wRC+†67

AVG/OBP/SLG.205 / .294 / .276

PA49

HR0

K%28

BB%10

ISO71

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2036	Arb-1	$2M	+0.5	$1M	+$0.2M
2037	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$2M	+0.2	$0.3M	+$0.0M (cut)
Totals		$5M		$6M	+$3M

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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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	21	—	—	—	—	—	—
2026	18	ROK	DSL LAD Bautista	—	88	61	16	2	0	1	24	16	2	4	3	262	483	344	827	82	333	18	27	393	70	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL LAD Mega	—	82	71	9	0	0	1	9	29	2	1	0	127	244	169	413	42	195	35	11	199	21	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Bautista	—	88	68	11	1	0	1	17	20	2	4	3	162	345	221	565	59	212	23	19	272	70	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Mega	—	82	71	9	0	0	1	9	29	2	1	0	127	244	169	413	42	195	35	11	199	21	—	—	—	—	—	—
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	21	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Bautista	—	88	68	11	1	0	1	17	20	2	4	3	162	345	221	565	59	208	23	19	272	70	—	—	—	—	—	—
2026	18	ROK RAW	DSL LAD Bautista	—	88	61	16	2	0	1	24	16	2	4	3	262	483	344	827	82	333	18	27	393	70	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Mega	—	82	71	9	0	0	1	9	29	2	1	0	127	244	169	413	42	195	35	11	199	21	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Bautista	—	88	69	11	1	0	1	17	20	2	4	3	159	345	217	562	58	212	23	19	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL LAD Mega	—	82	71	9	0	0	1	9	29	2	1	0	127	244	169	413	42	195	35	11	199	21	—	—	—	—	—	—
2026	18	ROK MLE	DSL LAD Bautista	—	88	69	11	1	0	1	17	20	2	4	3	159	345	217	562	58	212	23	19	272	70	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	LAD	0%	198	174	36	5	1	2	20	55	2	2	1	207	296	278	574	71	288	28	10	267	67	-8	+0	+0	+4	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	LAD	34%	105	93	20	3	1	1	10	29	1	1	0	212	301	293	593	81	290	28	10	274	72	-4	+0	+0	+2	+2	0.1
2029	21	MLB MLE	LAD	48%	199	174	38	5	1	3	20	54	3	2	1	216	304	305	610	90	291	27	10	281	76	-6	+0	+0	+4	+4	0.2
2030	22	MLB MLE	LAD	54%	310	272	60	8	2	5	31	82	4	3	1	219	307	316	623	97	292	26	10	286	80	-8	+0	+0	+6	+7	0.5
2031	23	MLB MLE	LAD	57%	396	349	77	11	2	7	39	104	5	4	1	222	309	326	635	104	293	26	10	290	82	-8	+0	+0	+7	+9	0.8
2032	24	MLB MLE	LAD	57%	445	393	87	13	2	8	43	116	6	4	2	225	311	334	645	109	294	26	10	294	85	-8	+0	+0	+8	+10	1.0
2033	25	MLB MLE	LAD	57%	445	393	88	13	2	9	43	116	6	4	2	225	312	337	648	111	294	26	10	295	86	-8	+0	+0	+8	+10	1.0
2034	26	MLB MLE	LAD	56%	445	393	88	13	2	9	43	116	6	4	2	225	312	338	650	113	294	26	10	296	86	-7	+0	+0	+8	+10	1.1
2035	27	MLB MLE	LAD	55%	445	392	88	13	2	9	44	117	6	4	2	224	311	335	646	111	293	26	10	294	85	-8	+0	+0	+8	+10	1.0
2036	28	MLB MLE	LAD	55%	445	392	87	13	2	8	44	118	6	4	2	222	309	331	639	108	292	27	10	291	83	-9	+0	-1	+8	+10	0.8
2037	29	MLB MLE	LAD	58%	445	394	86	12	2	8	43	119	5	4	3	220	306	324	630	104	290	27	10	288	81	-10	-0	-1	+8	+10	0.6
2038	30	MLB MLE	LAD	60%	445	394	85	12	2	8	43	120	5	4	4	217	302	316	618	99	288	27	10	283	78	-12	-1	-2	+8	+10	0.3
2039	31	MLB MLE	LAD	62%	426	377	80	11	2	7	41	117	5	3	14	212	297	306	603	94	285	27	10	277	74	-13	-5	-3	+8	+9	-0.4
2028	20	MLB CTX	LAD	34%	36	32	6	1	0	0	4	10	0	0	0	208	298	287	584	79	284	28	11	271	72	-1	+0	+0	+1	+1	0.0
2029	21	MLB CTX	LAD	48%	96	86	17	2	0	1	9	26	1	1	0	212	301	300	601	88	285	27	9	277	76	-3	+0	+0	+2	+2	0.1
2030	22	MLB CTX	LAD	54%	168	147	32	4	1	3	17	45	2	2	1	215	304	311	615	96	286	27	10	282	80	-4	+0	+0	+3	+4	0.3
2031	23	MLB CTX	LAD	57%	224	197	43	6	1	4	22	59	3	2	1	218	306	321	627	102	287	26	10	287	82	-5	+0	+0	+4	+5	0.4
2032	24	MLB CTX	LAD	57%	252	222	49	7	1	5	25	66	3	2	1	221	308	329	637	108	288	26	10	291	85	-5	+0	+0	+4	+5	0.6
2033	25	MLB CTX	LAD	57%	251	221	49	7	1	5	25	65	3	2	1	222	309	332	640	110	288	26	10	292	86	-4	+0	+0	+4	+5	0.6
2034	26	MLB CTX	LAD	56%	251	221	49	7	1	5	25	65	3	2	1	222	309	334	643	112	287	26	10	293	86	-4	+0	+0	+4	+5	0.6
2035	27	MLB CTX	LAD	55%	247	218	48	7	1	5	24	65	3	2	1	221	308	331	639	110	287	26	10	291	85	-4	+0	+0	+4	+5	0.6
2036	28	MLB CTX	LAD	55%	244	215	47	6	1	5	24	64	3	2	1	219	306	326	632	107	286	26	10	288	83	-5	+0	-0	+4	+5	0.5
2037	29	MLB CTX	LAD	58%	258	228	50	7	1	5	25	69	3	2	2	216	303	320	623	103	284	27	10	285	81	-6	-0	-1	+5	+6	0.3
2038	30	MLB CTX	LAD	60%	268	237	51	7	1	5	26	72	3	2	2	213	299	312	611	98	283	27	10	280	78	-7	-0	-1	+5	+6	0.2
2039	31	MLB CTX	LAD	62%	263	233	48	6	1	4	25	72	3	2	9	209	294	302	596	93	279	27	10	274	74	-8	-3	-2	+5	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2558	2257	489	67	10	47	251	678	30	21	20	217	303	318	621	101	287	27	10	286	80	-56	-4	-4	+46	+55	3.8
/ 162G	—	A+C		—	650	574	125	17	3	12	64	172	8	5	5	218	306	321	626	103	288	26	10	286	80	-14	-1	-1	+12	+14	1.0
Career	—	MLE		—	4770	4198	912	129	22	84	475	1271	63	47	37	217	306	318	625	101	289	27	10	287	80	-102	-5	-7	+82	+100	6.9
/ 162G	—	MLE		—	650	572	124	18	3	11	65	173	9	6	5	217	307	316	623	100	289	27	10	287	80	-14	-1	-1	+12	+14	1.0

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 DSLDSL LAD Bautista · 88 PAwOBA .390 → .272 (−118)K% 18.2% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.000	×1.220	—	—	22.18%
BB% (unintentional) /PA	27.27%	÷1.000	×0.700	—	×1.008	19.23%
HBP% /PA	2.27%	—	×0.700	—	×1.008	1.60%
Singles /BIP	28.89%	÷1.000	×0.680	×0.950	×1.008	18.80%
Doubles /BIP	4.44%	÷1.000	×0.600	×0.950	×1.008	2.55%
Triples /BIP	0.00%	÷1.000	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	2.22%	÷1.000	×0.470	—	×1.008	1.05%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .390 → .272; ISO .082 → .047; BABIP .333 → .212. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL LAD Mega · 82 PAwOBA .305 → .199 (−106)K% 28.0% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.05%	÷0.957	×1.220	—	—	35.77%
BB% (unintentional) /PA	15.85%	÷1.000	×0.700	—	×1.022	11.35%
HBP% /PA	2.44%	—	×0.700	—	×1.022	1.75%
Singles /BIP	27.27%	÷0.985	×0.680	×0.990	×1.022	19.06%
Doubles /BIP	0.00%	÷1.050	×0.600	×0.990	×1.022	0.00%
Triples /BIP	0.00%	÷0.988	×0.600	×0.990	×1.022	0.00%
Home runs /BIP	4.55%	÷1.011	×0.470	—	×1.022	2.16%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 97, 2B 110, 3B 98, K 91, BB 100 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .305 → .199; ISO .090 → .041; BABIP .286 → .195. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker 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
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	3.9	2,609	46	23	222	305	326	+47	+32	5.8	5.2
/162	664	12	6	+11.9	+8.1	1.5	pk7: 5
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 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
Moises Rangel (OGILVIE)	19	—	—	—	—	205/294/276	70	288	0	1	28%	10%	67	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Cauro 2024 · A	19	40	40	46→45	49	193/286/282	89	274	7	4	30%	10%	65	-1.2	204/280/311	107	300	11	5	33%	8%	70	-0.9	198/280/293	95	285	12	5	32%	8%	65	-0.4
✕Chris Suero 2023 · A	19	40→38	37→45	47→55	52	185/290/259	74	266	4	8	29%	11%	62	-1.4	194/289/297	103	280	10	14	31%	10%	70	-0.8	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Carlos Rodriguez 2022 · A	19	37	39→45	46→45	53	177/289/262	85	262	6	6	31%	12%	63	-1.4	182/260/254	72	283	5	6	34%	9%	49	-2.4	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Jhostynxon Garcia 2022 · A	19	41→44	38→50	47→50	54	193/285/279	86	256	5	8	25%	11%	63	-1.3	188/262/304	116	277	10	9	34%	8%	61	-1.5	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Miguel Palma 2021 · A	19	40	39→45	48→40	45	193/281/280	88	261	6	11	27%	7%	63	-1.3	215/293/337	122	281	13	5	27%	8%	80	-0.1	217/284/341	124	274	15	2	26%	7%	76	-0.2
✕Johanfran Garcia 2024 · A	19	41	40→50	49→45	42	199/270/291	93	282	8	6	31%	7%	61	-1.5	219/276/349	130	326	16	5	36%	6%	76	-0.4	218/265/369	151	318	23	4	38%	5%	74	-0.3
✕Andrés Nolaya 2024 · A	19	39	36→45	47→50	46	183/256/246	64	263	3	12	30%	8%	45	-2.7	196/270/269	73	284	4	17	30%	8%	55	-1.9	201/281/282	81	280	7	21	28%	8%	61	-0.5
✕Thayron Liranzo 2022 · A	19	43	37→50	49→30	47	202/280/280	77	287	4	8	29%	9%	62	-1.4	208/291/366	158	303	18	3	35%	10%	86	+0.3	203/298/375	172	290	20	1	35%	11%	87	+0.2
✕Jesús Báez 2024 · A	19	35→41	40→55	45	46	177/246/265	88	234	7	9	27%	8%	46	-2.6	218/275/368	150	257	19	8	23%	6%	80	-0.1	226/279/407	181	249	27	8	22%	6%	89	+0.4
✕Jacob Amaya 2018 · A	19	44→47	39→45	48→45	46	211/280/295	84	285	6	8	27%	8%	65	-1.2	225/304/318	93	298	6	8	24%	10%	79	-0.2	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Adrian De Leon 2023 · A	19	41	37→40	47→45	46	194/269/265	72	268	4	7	28%	8%	55	-2.0	194/292/269	75	320	6	5	37%	9%	65	-1.2	160/270/224	63	280	5	3	40%	10%	47	-1.1
✕Frank Rodriguez 2021 · A	19	40	35→45	48→30	48	184/279/246	61	271	2	5	30%	9%	55	-2.0	187/249/270	83	271	7	4	32%	6%	47	-2.5	183/244/267	84	241	9	1	27%	6%	43	-0.9
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Pedro Severino 2012 · A	19	37→47	39→50	49→45	40	185/238/269	84	259	7	4	30%	6%	43	-2.8	195/239/273	78	247	5	3	22%	5%	44	-2.8	242/310/379	137	297	17	3	24%	8%	96	+0.5
✕Richard Ramirez 2024 · A	19	34	39→55	48→40	46	173/246/259	86	244	7	5	31%	9%	45	-2.7	199/260/315	116	319	12	4	39%	7%	62	-1.4	198/255/335	137	313	16	2	40%	6%	62	-0.7
✕Oswaldo Linares 2022 · A	19	41	36→40	47→40	59	189/305/249	60	253	3	8	24%	13%	66	-1.1	188/293/264	76	260	6	5	27%	12%	64	-1.3	167/279/236	69	235	7	2	29%	12%	52	-0.8
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Yasmil Bucce 2024 · A	19	41	38→55	49→40	44	194/265/274	79	279	5	4	30%	8%	55	-2.0	199/299/306	107	308	10	4	35%	11%	76	-0.4	192/301/328	137	300	16	2	37%	12%	79	-0.1
✕Denzer Guzman 2023 · A	19	38→48	39→45	47→50	43	188/246/273	85	256	6	9	28%	7%	47	-2.6	195/254/294	99	297	8	8	35%	7%	55	-2.0	217/278/341	124	295	14	11	30%	7%	72	-0.6
✕Christian Cerda 2023 · A	20	40	39→45	50→40	53	189/279/278	88	244	6	9	23%	10%	61	-1.5	198/297/302	104	263	10	4	26%	12%	74	-0.5	187/288/292	105	240	12	2	26%	12%	67	-0.7

Moises Rangel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps