Carlos Vielma

SS DSL Colorado

Age 17 L/R ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#789ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	16	ROKDSL Colorado	175	.359/.520/.484	1	1	103	—	.250/.386/.329
2027PROJMLE	17	MLB—	285	.225/.312/.306	2	4	79	0.1
2028PROJ34% MLB	18	MLB—	50	.228/.314/.317	0	1	82	0.1
2029PROJ48% MLB	19	MLB—	125	.232/.319/.330	1	2	87	0.2

Next 3 projected WAR 0.4Projected 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

wOBA96

wRC+94

K%89

BB%89

Chase%83

Whiff%78

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsMoisés Ballesteros (age 18) · Hector Osorio (age 18) · Josue De Paula (age 18)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 91 proj PA

wRC+79

AVG/OBP/SLG.223 / .310 / .303

PA91

HR1

K%22

BB%10

ISO81

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$43M 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	+1.0	$5M	+$5M
2034	Pre-Arb	$1.0M	+1.0	$5M	+$4M
2035	Pre-Arb	$1.0M	+1.1	$5M	+$4M
2036	Arb-1	$5M	+1.1	$4M	+$3M
2037	Arb-2	$8M	+1.1	$4M	+$1M
2038	Arb-3	$10M	+0.9	$2M	+$0.0M (cut)
Totals		$16M		$25M	+$17M

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.

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)
2026	16	ROK	DSL Colorado	—	175	128	46	9	2	1	39	22	4	1	1	359	520	484	1.005	125	417	13	22	444	103	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	16	ROK MLE	DSL Colorado	—	175	140	35	6	1	1	27	27	4	1	1	250	386	329	715	79	283	15	15	321	103	—	—	—	—	—	—
2026	16	ROK MLE	DSL Colorado	—	175	140	35	6	1	1	27	27	4	1	1	250	386	329	715	79	296	15	15	321	103	—	—	—	—	—	—
2026	16	ROK RAW	DSL Colorado	—	175	128	46	9	2	1	39	22	4	1	1	359	520	484	1.005	125	417	13	22	444	103	—	—	—	—	—	—
2026	16	ROK MLE	DSL Colorado	—	175	142	35	6	1	1	27	27	4	1	1	246	386	324	710	77	283	15	15	321	103	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	16	ROK MLE	DSL Colorado	—	175	142	35	6	1	1	27	27	4	1	1	246	386	324	710	77	283	15	15	321	103	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	17	MLB MLE	—	0%	285	252	57	10	2	2	28	63	3	4	2	225	312	306	618	81	289	22	10	284	79	-7	+0	+0	+3	+6	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	18	MLB MLE	—	34%	146	129	29	5	1	1	14	32	2	3	1	228	314	317	631	89	290	22	10	289	82	-3	+0	+0	+2	+3	0.2
2029	19	MLB MLE	—	48%	258	227	53	9	2	3	26	56	3	5	2	232	319	330	649	98	292	22	10	296	87	-4	+0	+0	+3	+6	0.5
2030	20	MLB MLE	—	54%	386	339	80	14	3	5	38	84	6	7	3	235	322	341	664	106	294	22	10	302	91	-4	+0	+0	+4	+8	0.9
2031	21	MLB MLE	—	57%	479	422	100	17	4	8	47	104	7	9	4	238	325	351	676	114	295	22	10	307	94	-4	+0	+0	+5	+10	1.2
2032	22	MLB MLE	—	58%	531	466	111	19	4	9	52	114	8	10	5	240	326	360	686	120	295	21	10	310	96	-2	+0	+0	+6	+12	1.5
2033	23	MLB MLE	—	58%	555	487	117	20	4	10	55	119	8	10	5	242	328	364	692	123	296	21	10	313	98	-1	+0	+0	+6	+12	1.7
2034	24	MLB MLE	—	57%	573	504	122	21	4	11	56	123	8	11	5	243	329	368	697	125	297	21	10	315	99	-1	+0	+0	+6	+12	1.9
2035	25	MLB MLE	—	57%	589	517	126	21	5	12	58	126	9	11	5	243	330	371	701	127	297	21	10	316	100	-0	+0	+0	+6	+13	2.0
2036	26	MLB MLE	—	57%	597	524	128	22	5	12	59	128	9	11	6	244	330	372	702	129	297	21	10	317	100	+0	-0	+0	+6	+13	2.0
2037	27	MLB MLE	—	56%	596	524	128	22	5	12	59	129	8	11	6	243	329	370	699	127	297	22	10	315	100	-0	-0	+0	+6	+13	1.9
2038	28	MLB MLE	—	55%	585	514	123	21	4	11	58	128	8	10	6	241	327	365	692	124	296	22	10	313	98	-2	-0	-1	+6	+13	1.7
2039	29	MLB MLE	—	53%	566	497	119	20	4	11	56	125	8	9	7	239	324	359	684	121	295	22	10	309	95	-3	-1	-1	+6	+12	1.3
2040	30	MLB MLE	—	53%	552	486	115	19	4	10	54	124	7	9	7	236	321	352	673	116	293	22	10	305	92	-5	-1	-2	+6	+12	1.0
2041	31	MLB MLE	—	52%	534	470	109	18	4	9	52	122	7	8	10	232	316	342	658	111	291	23	10	299	89	-7	-2	-3	+6	+12	0.5
2042	32	MLB MLE	—	52%	511	451	102	17	3	8	49	119	6	7	16	226	310	330	640	104	287	23	10	292	84	-10	-5	-4	+5	+11	-0.2
2028	18	MLB CTX	—	34%	50	44	9	2	0	0	5	11	1	1	0	228	314	317	631	89	290	22	10	289	82	-1	+0	+0	+1	+1	0.1
2029	19	MLB CTX	—	48%	125	110	25	4	1	1	12	27	2	2	1	232	319	330	649	98	292	22	10	296	87	-2	+0	+0	+1	+3	0.2
2030	20	MLB CTX	—	54%	209	183	43	7	2	3	21	45	3	4	2	235	322	341	664	106	294	22	10	302	91	-2	+0	+0	+2	+5	0.5
2031	21	MLB CTX	—	57%	271	238	56	10	2	4	27	59	4	5	2	238	325	351	676	114	295	22	10	307	94	-2	+0	+0	+3	+6	0.7
2032	22	MLB CTX	—	58%	306	269	64	11	2	5	30	66	4	6	3	240	326	360	686	120	295	22	10	310	96	-1	+0	+0	+3	+7	0.9
2033	23	MLB CTX	—	58%	322	282	68	12	2	6	32	69	5	6	3	242	328	364	692	123	296	21	10	313	98	-1	+0	+0	+3	+7	1.0
2034	24	MLB CTX	—	57%	328	288	70	12	3	6	32	70	5	6	3	243	329	368	697	125	297	21	10	315	99	-0	+0	+0	+4	+7	1.0
2035	25	MLB CTX	—	57%	335	294	72	12	3	7	33	72	5	6	3	243	330	371	701	127	297	21	10	316	100	-0	+0	+0	+4	+7	1.1
2036	26	MLB CTX	—	57%	338	297	73	12	3	7	33	72	5	6	3	244	330	372	702	129	297	21	10	317	100	+0	+0	+0	+4	+7	1.1
2037	27	MLB CTX	—	56%	331	290	71	12	3	7	33	71	5	6	3	243	329	370	699	127	297	21	10	315	100	-0	+0	+0	+4	+7	1.1
2038	28	MLB CTX	—	55%	321	282	67	11	2	6	32	70	4	5	3	241	327	365	692	124	296	22	10	313	98	-1	-0	-0	+3	+7	0.9
2039	29	MLB CTX	—	53%	303	266	64	11	2	6	30	67	4	5	4	239	324	359	684	121	295	22	10	309	95	-2	-1	-1	+3	+7	0.7
2040	30	MLB CTX	—	53%	291	257	60	10	2	5	28	65	4	5	4	236	321	352	673	116	293	22	10	305	92	-3	-1	-1	+3	+6	0.5
2041	31	MLB CTX	—	52%	279	246	58	10	2	5	27	64	4	4	5	232	316	342	658	111	291	23	10	299	89	-4	-1	-1	+3	+6	0.3
2042	32	MLB CTX	—	52%	265	235	54	9	2	4	25	62	3	4	8	226	310	330	640	104	287	23	9	292	84	-5	-2	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4074	3581	854	145	31	72	400	890	58	71	47	238	325	357	681	118	296	22	10	309	95	-24	-5	-6	+44	+88	10.0
/ 162G	—	A+C		—	650	571	136	23	5	11	64	142	9	11	7	238	325	354	678	116	296	22	10	309	95	-4	-1	-1	+7	+14	1.6
Career	—	MLE		—	7724	6778	1616	274	58	134	769	1680	109	133	90	238	326	355	681	117	296	22	10	308	95	-49	-9	-10	+81	+164	18.0
/ 162G	—	MLE		—	650	570	136	23	5	11	65	141	9	11	8	239	326	354	680	116	296	22	10	308	95	-4	-1	-1	+7	+14	1.5

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 Colorado · 175 PAwOBA .442 → .321 (−121)K% 12.6% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.57%	÷1.000	×1.220	—	—	15.34%
BB% (unintentional) /PA	22.29%	÷1.000	×0.700	—	—	15.60%
HBP% /PA	2.29%	—	×0.700	—	—	1.60%
Singles /BIP	32.08%	÷1.000	×0.680	×1.032	—	22.50%
Doubles /BIP	8.49%	÷1.000	×0.600	×1.032	—	5.26%
Triples /BIP	1.89%	÷1.000	×0.600	×1.032	—	1.17%
Home runs /BIP	0.94%	÷1.000	×0.470	—	—	0.44%

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 unknown — no age adjustment. Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .442 → .321; ISO .125 → .082; BABIP .417 → .283. 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
#1Scott Fletcher'81-'95 * career totals — 13 seasons, 5,976 PA	9.0	5,976	34	99	258*	330*	357*	+42	+40	17.2	18.2
/162	664	4	11	+4.6	+4.5	1.9	pk7: 19
#2Spike Owen'83-'95 * career totals — 13 seasons, 5,615 PA	8.5	5,615	46	82	242*	322*	356*	+55	+30	15.6	15.3
/162	664	5	10	+6.5	+3.6	1.8	pk7: 15
#3Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#4Bobby 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	6.3	4,163	74	73	239	322	358	+45	+27	12.8	10.7
/162	664	12	12	+7.1	+4.3	2.0	pk7: 9
#5Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#6Kevin Stocker'93-'00 * career totals — 8 seasons, 3,197 PA	4.8	3,197	23	45	241*	324*	337*	+34	+8	6.4	6.5
/162	664	5	9	+7.1	+1.8	1.3	pk7: 7

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
Carlos Vielma (OGILVIE)	17	—	—	—	—	223/310/303	80	289	1	1	22%	10%	79	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Moisés Ballesteros 2022 · A	18	43→53	38→50	50→40	55	201/288/280	79	244	5	8	19%	10%	65	-1.2	227/293/354	127	281	14	4	23%	8%	84	+0.1	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Hector Osorio 2023 · A	18	46	37→45	47→50	49	215/299/289	74	290	4	8	25%	9%	72	-0.7	205/319/270	65	256	3	14	19%	12%	76	-0.4	223/323/350	127	253	16	10	18%	10%	93	+0.4
●Josue De Paula 2023 · A	18	47→54	40→50	50→55	54	224/305/318	94	270	6	14	19%	10%	80	-0.2	233/325/328	95	314	7	17	25%	11%	90	+0.6	241/338/391	150	298	16	24	23%	12%	106	+1.5
✕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
✕Hendry Mendez 2022 · A	18	50→57	39→45	51→45	51	234/299/332	97	275	5	7	16%	8%	80	-0.2	227/296/304	77	285	5	5	20%	9%	73	-0.6	262/336/372	110	313	10	6	18%	9%	101	+1.0
✕Emmanuel Avila 2007 · A	18	45→55	36→45	50→45	54	206/294/278	71	267	2	9	22%	10%	67	-1.1	203/252/261	58	256	2	6	21%	5%	46	-2.6	279/319/373	94	320	8	6	15%	4%	96	+0.8
✕Alirio Ferrebus 2024 · A	18	47	37→50	49→45	43	218/293/295	77	297	5	9	26%	6%	70	-0.8	229/288/340	111	275	11	6	20%	5%	78	-0.3	235/286/353	118	276	13	4	19%	4%	79	-0.1
✕Yasmil Bucce 2022 · A	17	43	36→55	49→40	46	201/277/267	66	277	3	5	26%	8%	57	-1.8	191/270/267	76	272	5	5	29%	9%	55	-1.9	183/288/308	125	273	14	2	35%	12%	69	-0.4
●Andrés Giménez 2017 · A	18	48→58	38→50	47→55	59	223/318/314	92	250	4	11	12%	11%	84	+0.1	240/302/336	96	303	6	18	21%	6%	82	+0.0	260/322/413	154	311	16	25	21%	5%	109	+1.8
●Elvis Andrus 2006 · A	17	48→58	39→50	47→60	47	231/294/314	84	293	7	9	23%	7%	74	-0.5	241/292/319	78	321	4	22	25%	6%	74	-0.6	276/328/411	135	308	11	19	14%	7%	107	+1.7
✕Jason Martin 2014 · A	18	45→52	36→60	49→50	49	208/274/278	70	270	2	11	22%	8%	58	-1.7	218/278/323	105	286	7	11	25%	8%	70	-0.8	226/292/414	187	279	24	8	28%	8%	94	+0.6
✕Bo Naylor 2019 · A	19	45→46	39→55	52→50	46	212/280/301	90	299	6	9	30%	9%	66	-1.1	196/254/318	122	282	11	8	33%	7%	60	-1.6	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Aron Estrada 2023 · A	18	50→54	41→50	47→55	54	238/323/346	109	290	6	7	19%	10%	93	+0.8	235/304/342	107	293	8	18	21%	8%	84	+0.2	258/306/387	130	312	14	21	21%	5%	93	+0.7
●Franklin Arias 2024 · A	18	48→58	37→50	46→50	52	223/290/295	72	258	3	6	15%	8%	68	-1.0	246/303/362	116	293	11	14	19%	7%	88	+0.5	260/316/394	134	300	15	13	18%	6%	99	+1.0
✕Meibrys Viloria 2015 · A	18	43→48	38→45	46→40	50	204/277/287	83	255	5	5	21%	9%	62	-1.4	233/285/320	87	295	6	3	22%	6%	72	-0.7	246/292/359	114	319	10	2	25%	5%	80	-0.1
✕Carlos Sanchez 2023 · A	18	50→54	37→40	51→50	59	233/335/302	69	298	4	15	21%	12%	88	+0.4	212/309/287	75	349	4	12	35%	12%	75	-0.5	225/310/326	101	351	8	14	35%	11%	79	-0.1
●Alek Thomas 2019 · A	19	51→57	38→50	51→50	45	241/287/329	88	302	4	10	21%	6%	74	-0.6	251/307/379	128	337	10	10	27%	7%	93	+0.8	255/313/401	146	322	13	11	24%	7%	98	+1.0
✕Shed Long Jr. 2014 · A	18	45→50	38→50	46→50	42	213/268/289	76	296	6	6	29%	6%	58	-1.7	211/263/305	94	290	8	8	28%	6%	60	-1.6	238/300/387	148	320	15	11	29%	7%	91	+0.5
✕Victor Mesa Jr. 2021 · A	19	45→46	37→55	49→50	47	212/272/292	80	272	4	8	22%	7%	61	-1.5	214/265/314	100	290	7	9	27%	6%	63	-1.4	238/297/408	169	279	21	11	23%	7%	95	+0.5
✕Abrahan Ramirez 2023 · A	18	46	37→45	47→55	47	215/290/297	83	299	3	10	27%	8%	69	-0.9	222/312/294	72	300	3	13	24%	11%	77	-0.3	217/314/281	64	302	1	14	25%	12%	73	-0.3

Carlos Vielma

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps