Miguel Caraballo

C FCL Twins

Age 18 S/R 6'0" / 190 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1158ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	16	ROKDSL Giants Or…	169	.264/.435/.442	5	8	67	—	.168/.321/.270
2026	17	ROKMIN	166	.229/.368/.412	5	15	47	—	.155/.264/.282
2027PROJMLE	18	MLBMIN	276	.199/.280/.306	5	5	67	0.0
2028PROJ25% MLB	19	MLBMIN	35	.206/.287/.323	1	1	74	-0.0
2029PROJ38% MLB	20	MLBMIN	94	.211/.293/.338	2	2	80	0.0

Next 3 projected WAR 0.0Projected 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

ISO79

wRC+56

Speed54

BB%47

wOBA44

K%19

Career WAR0.0 WAR median (P10 0.0 / P90 4.8, comp-based) · star 2% · didn't stick 90%

CompsJose Perez (age 18) · Carlos Rodriguez (age 19) · Jon Del Campo (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 86 proj PA

wRC+†67

AVG/OBP/SLG.197 / .277 / .303

PA86

HR1

K%30

BB%8

ISO106

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$20M ctrl surplus

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	+0.7	$2M	+$1M
2036	Arb-1	$3M	+0.6	$1M	+$0.1M
2037	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2038	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$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	16	ROK	DSL Giants Orange	—	169	129	34	4	2	5	28	38	11	8	2	264	435	442	876	178	333	22	17	398	67	—	—	—	—	—	—
2026	17	ROK	FCL Twins	—	166	131	30	9	0	5	25	49	5	15	2	229	368	412	780	183	312	30	15	347	47	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL Giants Orange	—	169	137	23	3	1	3	20	48	11	8	2	168	321	270	592	102	224	28	12	267	67	—	—	—	—	—	—
2026	17	ROK MLE	FCL Twins	—	166	142	22	6	0	4	16	71	5	15	2	155	264	282	545	127	234	43	10	237	47	—	—	—	—	—	—
2025	16	ROK MLE	DSL Giants Orange	—	169	137	23	3	1	3	20	48	11	8	2	168	321	270	592	102	230	28	12	267	67	—	—	—	—	—	—
2025	16	ROK RAW	DSL Giants Orange	—	169	129	34	4	2	5	28	38	11	8	2	264	435	442	876	178	333	22	17	398	67	—	—	—	—	—	—
2026	17	ROK MLE	FCL Twins	—	166	142	22	6	0	4	16	71	5	15	2	155	264	282	545	127	257	43	10	237	47	—	—	—	—	—	—
2026	17	ROK RAW	FCL Twins	—	166	131	30	9	0	5	25	49	5	15	2	229	368	412	780	183	312	30	15	347	47	—	—	—	—	—	—
2025	16	ROK MLE	DSL Giants Orange	—	169	136	23	3	1	3	20	48	11	8	2	169	321	272	593	103	224	28	12	267	67	—	—	—	—	—	—
2026	17	ROK MLE	FCL Twins	—	166	144	22	6	0	4	16	71	5	15	2	153	264	278	542	125	234	43	10	237	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	16	ROK MLE	DSL Giants Orange	—	169	136	23	3	1	3	20	48	11	8	2	169	321	272	593	103	224	28	12	267	67	—	—	—	—	—	—
2026	17	ROK MLE	FCL Twins	—	166	144	22	6	0	4	16	71	5	15	2	153	264	278	542	125	234	43	10	237	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	MIN	0%	276	246	50	9	2	5	23	83	5	5	1	199	280	306	585	106	277	30	8	267	67	-11	+1	-4	+5	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	MIN	25%	140	124	25	4	1	3	12	41	3	2	1	206	287	323	610	117	280	29	9	277	74	-4	+0	-2	+3	+3	-0.1
2029	20	MLB MLE	MIN	38%	246	218	47	8	2	6	21	71	5	4	1	211	293	338	631	127	283	29	9	286	80	-6	+0	-4	+4	+5	0.1
2030	21	MLB MLE	MIN	45%	368	327	70	12	2	9	31	105	7	6	2	215	298	350	648	135	284	29	8	292	84	-7	+0	-5	+7	+8	0.3
2031	22	MLB MLE	MIN	49%	445	395	87	15	3	12	38	125	9	7	2	219	301	360	661	141	286	28	9	298	88	-7	+1	-4	+8	+10	0.7
2032	23	MLB MLE	MIN	51%	445	396	87	15	3	12	38	123	8	7	2	222	304	368	672	146	287	28	9	302	90	-5	+1	-3	+8	+10	1.0
2033	24	MLB MLE	MIN	51%	445	396	89	15	3	13	38	123	8	6	2	224	305	372	678	149	288	28	9	304	92	-4	+0	-2	+8	+10	1.2
2034	25	MLB MLE	MIN	52%	445	396	89	15	3	13	38	123	8	6	2	224	306	375	681	151	288	28	9	305	93	-4	+0	-2	+8	+10	1.3
2035	26	MLB MLE	MIN	52%	445	396	88	15	3	13	38	123	8	6	2	224	306	376	683	152	288	28	9	306	93	-4	+0	-2	+8	+10	1.3
2036	27	MLB MLE	MIN	51%	445	396	88	15	3	13	38	123	8	6	2	223	305	374	679	150	287	28	9	304	92	-4	+0	-2	+8	+10	1.2
2037	28	MLB MLE	MIN	50%	445	396	88	15	3	13	38	124	8	5	2	221	303	369	672	148	286	28	9	302	90	-5	+0	-3	+8	+10	1.0
2038	29	MLB MLE	MIN	49%	445	396	87	15	3	12	38	126	8	5	2	219	300	362	663	144	284	28	9	298	88	-6	+0	-3	+8	+10	0.8
2039	30	MLB MLE	MIN	48%	445	396	86	15	2	12	38	127	8	4	3	216	297	354	651	139	282	29	9	293	85	-8	-0	-4	+8	+10	0.5
2040	31	MLB MLE	MIN	52%	426	380	81	14	2	11	36	123	7	3	5	211	292	344	636	133	279	29	8	287	81	-10	-1	-5	+8	+9	0.1
2041	32	MLB MLE	MIN	50%	407	363	75	12	2	10	34	120	7	3	23	206	285	332	617	126	275	29	8	280	75	-12	-9	-5	+7	+9	-1.0
2028	19	MLB CTX	MIN	25%	35	31	6	1	0	1	3	10	1	1	0	206	287	323	611	118	280	29	9	278	74	-1	+0	-0	+1	+1	-0.0
2029	20	MLB CTX	MIN	38%	94	84	18	3	1	2	8	27	2	2	0	211	293	338	632	127	283	29	9	286	80	-2	+0	-1	+2	+2	0.0
2030	21	MLB CTX	MIN	45%	167	148	32	6	1	4	14	48	3	3	1	216	298	351	649	135	284	29	8	293	84	-3	+0	-2	+3	+4	0.2
2031	22	MLB CTX	MIN	49%	219	194	42	7	1	6	19	61	4	3	1	219	302	361	662	141	286	28	9	298	88	-3	+0	-2	+4	+5	0.4
2032	23	MLB CTX	MIN	51%	228	203	44	8	1	6	19	63	4	3	1	222	304	369	673	146	287	28	8	302	90	-3	+0	-2	+4	+5	0.5
2033	24	MLB CTX	MIN	51%	229	203	46	8	1	7	20	63	4	3	1	224	306	373	679	149	288	28	9	304	92	-2	+0	-1	+4	+5	0.6
2034	25	MLB CTX	MIN	52%	230	204	46	8	1	7	20	63	4	3	1	224	306	376	682	151	288	27	9	306	93	-2	+0	-1	+4	+5	0.6
2035	26	MLB CTX	MIN	52%	230	204	46	8	1	7	20	63	4	3	1	225	306	377	684	153	288	27	9	306	93	-2	+0	-1	+4	+5	0.7
2036	27	MLB CTX	MIN	51%	226	201	45	8	1	7	19	63	4	3	1	223	305	374	680	151	287	28	8	305	92	-2	+0	-1	+4	+5	0.6
2037	28	MLB CTX	MIN	50%	223	198	44	8	1	6	19	62	4	3	1	222	303	370	673	148	286	28	9	302	90	-3	+0	-1	+4	+5	0.5
2038	29	MLB CTX	MIN	49%	217	192	42	7	1	6	19	61	4	2	1	219	300	363	663	144	285	28	9	298	88	-3	+0	-2	+4	+5	0.4
2039	30	MLB CTX	MIN	48%	213	189	41	7	1	6	18	61	4	2	1	216	297	355	652	139	282	29	8	294	85	-4	+0	-2	+4	+5	0.3
2040	31	MLB CTX	MIN	52%	220	196	42	7	1	6	18	64	4	2	3	212	292	345	637	133	279	29	8	287	81	-5	-1	-2	+4	+5	0.0
2041	32	MLB CTX	MIN	50%	203	181	37	6	1	5	17	60	3	1	11	206	286	332	618	126	275	30	8	280	75	-6	-4	-3	+4	+4	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2734	2428	531	92	13	76	233	769	49	34	24	219	300	361	661	143	285	28	9	298	85	-41	-3	-22	+49	+59	4.3
/ 162G	—	A+C		—	650	577	126	22	3	18	55	183	12	8	6	218	300	360	660	142	285	28	8	298	85	-10	-1	-5	+12	+14	1.0
Career	—	MLE		—	6013	5332	1148	197	37	160	519	1722	119	94	55	215	299	356	655	141	284	29	9	294	85	-90	-6	-47	+101	+123	8.4
/ 162G	—	MLE		—	650	576	124	21	4	17	56	186	13	10	6	215	299	354	653	139	285	29	9	294	85	-10	-1	-5	+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 ROKFCL Twins · 166 PAwOBA .345 → .237 (−108)K% 29.5% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.52%	÷1.000	×1.440	—	—	42.51%
BB% (unintentional) /PA	15.06%	÷1.000	×0.620	—	×1.022	9.55%
HBP% /PA	3.01%	—	×0.720	—	×1.022	2.22%
Singles /BIP	19.51%	÷1.000	×0.820	×0.950	×1.022	15.54%
Doubles /BIP	10.98%	÷1.000	×0.720	×0.950	×1.022	7.68%
Triples /BIP	0.00%	÷1.000	×0.720	×0.950	×1.022	0.00%
Home runs /BIP	6.10%	÷1.000	×0.780	—	×1.022	4.86%

Factors used: level-wide ROK 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 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .345 → .237; ISO .183 → .129; BABIP .312 → .234. 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 Giants Orange · 169 PAwOBA .389 → .267 (−122)K% 22.5% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.49%	÷0.972	×1.220	—	—	28.22%
BB% (unintentional) /PA	15.98%	÷0.974	×0.700	—	×1.022	11.74%
HBP% /PA	6.51%	—	×0.700	—	×1.022	4.66%
Singles /BIP	25.27%	÷0.995	×0.680	×0.998	×1.022	17.62%
Doubles /BIP	4.40%	÷0.933	×0.600	×0.998	×1.022	2.88%
Triples /BIP	2.20%	÷0.900	×0.600	×0.998	×1.022	1.50%
Home runs /BIP	5.49%	÷0.963	×0.470	—	×1.022	2.74%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 99, 2B 87, 3B 80, K 94, BB 95 — 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 ×0.998.

Result: wOBA .389 → .267; ISO .178 → .102; BABIP .333 → .224. 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
#1John 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
#2Jarrod 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
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4John Bateman'63-'72 * career totals — 10 seasons, 3,585 PA	5.4	3,585	81	10	229*	274*	381*	+64	+0	8.2	8.5
/162	664	15	2	+11.9	+0.0	1.5	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.2	2,821	75	36	219	297	361	+50	-16	8.1	7.0
/162	664	18	8	+11.9	-3.8	1.9	pk7: 6
#5Scott Servais'91-'01 * career totals — 9 seasons, 2,778 PA	4.2	2,778	63	3	235*	296*	373*	+49	+0	6.5	6.9
/162	664	15	1	+11.7	+0.1	1.6	pk7: 7
#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
Miguel Caraballo (OGILVIE)	18	—	—	—	—	197/277/303	105	277	1	1	30%	8%	67	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Perez 2022 · A	18	39	37→40	42→45	48	187/265/263	76	258	4	6	27%	9%	53	-2.1	190/298/267	77	248	4	7	22%	12%	67	-1.1	180/313/262	82	232	4	7	21%	15%	70	-0.2
✕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
✕Jon Del Campo 2007 · A	19	43	38→45	45→55	47	206/270/283	77	273	6	5	26%	8%	58	-1.7	206/258/288	82	299	4	5	30%	6%	54	-2.0	272/305/377	105	345	10	18	23%	3%	93	+0.5
✕Yonatan Henriquez 2023 · A	18	42→48	38→45	42→55	48	198/288/274	75	280	5	9	29%	9%	64	-1.3	197/279/270	73	279	4	14	28%	9%	59	-1.6	203/284/285	82	275	6	20	26%	10%	62	-0.7
✕Jonathan Mejía 2023 · A	18	40	40→45	47→50	50	192/295/293	101	272	6	6	29%	10%	72	-0.7	178/265/265	87	292	6	13	37%	9%	53	-2.1	169/262/280	111	278	11	16	40%	10%	54	-0.9
✕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
✕Welbyn Francisca 2024 · A	18	44→41	39→45	50→55	48	208/283/300	92	277	5	12	25%	8%	68	-1.0	228/294/332	104	296	9	20	24%	8%	78	-0.3	225/294/339	114	289	12	24	25%	9%	78	-0.2
✕Luis Escudero 2024 · A	18	42	37→55	46→55	54	195/297/270	75	265	4	8	25%	11%	67	-1.1	193/297/281	88	236	6	21	19%	12%	70	-0.9	182/300/291	109	211	11	28	19%	14%	71	-0.2
✕Michael Arroyo 2023 · A	18	45→51	39→50	44→50	49	210/310/300	90	269	6	7	22%	8%	79	-0.2	217/319/344	127	291	11	8	27%	9%	93	+0.8	232/324/382	150	294	16	12	25%	8%	100	+1.3
●Esmerlyn Valdez 2023 · A	19	40→44	42→60	44→30	44	195/277/301	106	276	10	5	31%	8%	66	-1.1	199/274/334	135	301	16	4	37%	8%	73	-0.6	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Andrés Nolaya 2023 · A	18	40	35→45	44→50	51	186/280/245	59	267	2	10	28%	10%	55	-2.0	186/259/249	63	277	2	15	31%	8%	47	-2.6	201/281/282	81	280	7	21	28%	8%	61	-0.5
✕Samuel Basallo 2023 · A	18	41→51	43→55	48→45	42	203/262/304	101	271	11	4	29%	6%	61	-1.5	241/298/398	157	309	18	7	27%	7%	95	+1.0	240/301/413	173	300	21	6	27%	7%	98	+0.9
✕Juan Brito 2022 · A	20	44→50	41→50	47→45	46	215/282/311	96	276	9	12	25%	8%	70	-0.9	234/317/368	134	286	12	9	21%	10%	96	+1.0	231/317/370	139	276	13	9	20%	10%	94	+0.8
✕Rayner Santana 2021 · A	18	43	43→45	43→40	47	204/296/318	114	301	11	5	33%	10%	78	-0.3	166/229/250	84	377	8	5	54%	6%	36	-3.3	110/168/164	54	296	8	3	62%	5%	-8	-1.6
✕Dalton Pompey 2011 · A	18	41→51	42→45	50→55	40	206/259/307	102	280	10	11	30%	6%	59	-1.6	202/272/297	95	287	7	18	30%	8%	62	-1.4	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Enrique Jimenez 2024 · A	18	42	37→55	48→45	48	198/271/282	84	258	3	6	23%	8%	59	-1.7	199/279/318	119	281	12	6	31%	10%	70	-0.8	186/279/321	135	256	16	4	32%	11%	69	-0.3
✕Eddys Leonard 2019 · A	18	39→47	39→50	48→50	51	188/277/271	84	242	6	14	24%	10%	59	-1.6	207/281/319	112	295	10	8	31%	8%	72	-0.7	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Leo Bernal 2023 · A	19	39→49	46→45	46→50	43	204/257/334	130	246	14	5	24%	6%	65	-1.2	224/293/330	106	292	10	7	25%	8%	78	-0.3	235/299/362	127	292	15	9	24%	8%	85	+0.2
✕Alejandro Flores 2015 · A	19	39	41→50	48→40	45	194/256/286	92	252	8	5	26%	7%	54	-2.0	195/258/283	88	291	7	6	33%	7%	53	-2.1	206/261/337	132	279	11	4	29%	6%	64	-0.6
✕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

Miguel Caraballo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps