Carlos De Sousa

C FCL Rays

Age 21 R/R 6'1" / 166 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2051ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Tampa Bay	112	.194/.282/.245	0	7	-9	—	.119/.191/.149
2025	19	ROKDSL Tampa Bay	141	.167/.275/.242	2	7	-10	—	.104/.188/.152
2026	20	ROKTB	94	.225/.326/.262	0	1	24	—	.169/.250/.193
2027PROJMLE	21	MLBTB	204	.196/.259/.269	2	4	50	-0.1
2028PROJ34% MLB	22	MLBTB	35	.203/.267/.285	0	1	56	-0.0
2029PROJ48% MLB	23	MLBTB	88	.207/.271/.296	1	2	60	-0.0

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

K%72

wRC+32

wOBA31

Whiff%22

Z-Con%21

BB%19

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsJosé Alvarez (age 21) · Tyler Ladendorf (age 21) · Francisco Acuna (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 51 proj PA

wRC+†50

AVG/OBP/SLG.194 / .257 / .267

PA51

HR0

K%30

BB%7

ISO73

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 42 / POW 36

Toolsscout grade

CONTACT42

scouting grade only

POWER36

scouting grade only

EYE51

scouting grade only

SPEED54

scouting grade only

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	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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)
2023	17	ROK	DSL Tampa Bay	—	112	99	17	4	0	0	13	42	0	2	0	172	268	212	480	40	298	38	12	232	-14	—	—	—	—	—	—
2024	18	ROK	DSL Tampa Bay	—	112	98	19	5	0	0	9	38	3	7	0	194	282	245	527	51	317	34	8	246	-9	—	—	—	—	—	—
2025	19	ROK	DSL Tampa Bay	—	141	120	20	1	1	2	16	34	2	7	1	167	275	242	517	75	209	24	11	242	-10	—	—	—	—	—	—
2026	20	ROK	FCL Rays	—	94	80	18	3	0	0	9	18	3	1	1	225	326	263	589	38	286	19	10	276	24	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tampa Bay	—	112	103	11	2	0	0	9	51	0	2	0	107	179	126	305	19	208	46	8	147	-14	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	112	101	12	3	0	0	6	48	3	7	0	119	191	149	339	30	212	43	5	155	-9	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	141	125	13	1	1	1	11	41	2	7	1	104	188	152	340	48	130	29	8	153	-10	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	94	83	14	2	0	0	6	26	3	1	1	169	250	193	443	24	235	28	6	203	24	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	112	103	11	2	0	0	9	51	0	2	0	107	179	126	305	19	212	46	8	147	-14	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tampa Bay	—	112	99	17	4	0	0	13	42	0	2	0	172	268	212	480	40	298	38	12	232	-14	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	112	101	12	3	0	0	6	48	3	7	0	119	191	149	339	30	226	43	5	155	-9	—	—	—	—	—	—
2024	18	ROK RAW	DSL Tampa Bay	—	112	98	19	5	0	0	9	38	3	7	0	194	282	245	527	51	317	34	8	246	-9	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	141	125	13	1	1	1	11	41	2	7	1	104	188	152	340	48	141	29	8	153	-10	—	—	—	—	—	—
2025	19	ROK RAW	DSL Tampa Bay	—	141	120	20	1	1	2	16	34	2	7	1	167	275	242	517	75	209	24	11	242	-10	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	94	83	14	2	0	0	6	26	3	1	1	169	250	193	443	24	241	28	6	203	24	—	—	—	—	—	—
2026	20	ROK RAW	FCL Rays	—	94	80	18	3	0	0	9	18	3	1	1	225	326	263	589	38	286	19	10	276	24	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	112	102	11	2	0	0	9	51	0	2	0	108	179	127	306	20	208	46	8	147	-14	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tampa Bay	—	112	102	12	3	0	0	6	48	3	7	0	118	191	147	338	29	212	43	5	155	-9	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	141	127	13	1	1	1	11	41	2	7	1	102	188	150	338	47	130	29	8	153	-10	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	94	85	14	2	0	0	6	26	3	1	1	165	250	188	438	24	235	28	6	203	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Tampa Bay	—	112	102	12	3	0	0	6	48	3	7	0	118	191	147	338	29	212	43	5	155	-9	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	141	127	13	1	1	1	11	41	2	7	1	102	188	150	338	47	130	29	8	153	-10	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	94	85	14	2	0	0	6	26	3	1	1	165	250	188	438	24	235	28	6	203	24	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	204	186	36	6	1	2	14	60	2	4	1	196	259	269	528	73	276	29	7	242	50	-12	+0	+0	+4	+4	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	103	94	19	3	1	1	7	30	1	2	1	200	265	283	548	83	278	29	7	250	56	-5	+0	+0	+2	+2	-0.1
2029	23	MLB MLE	TB	48%	181	164	34	6	1	2	13	52	2	4	1	205	269	295	565	91	279	29	7	257	60	-9	+0	+0	+3	+4	-0.1
2030	24	MLB MLE	TB	53%	266	242	50	8	2	4	19	75	3	5	1	208	273	305	579	97	281	28	7	263	64	-11	+1	+0	+5	+6	-0.0
2031	25	MLB MLE	TB	55%	330	300	63	11	2	5	23	92	4	7	2	210	276	313	589	102	282	28	7	267	67	-13	+1	+0	+6	+7	0.1
2032	26	MLB MLE	TB	56%	370	336	71	12	2	6	27	102	4	8	2	212	279	318	597	106	282	28	7	270	69	-14	+1	+0	+7	+8	0.2
2033	27	MLB MLE	TB	55%	387	352	75	13	2	7	28	108	4	8	2	211	278	316	593	105	281	28	7	269	68	-15	+1	+0	+7	+8	0.1
2034	28	MLB MLE	TB	55%	393	358	75	13	2	6	28	110	4	7	2	209	275	311	587	102	280	28	7	266	66	-16	+1	-1	+7	+9	-0.0
2035	29	MLB MLE	TB	53%	388	353	73	12	2	6	28	110	4	7	2	207	273	305	577	98	279	28	7	262	64	-17	+1	-1	+7	+8	-0.2
2028	22	MLB CTX	TB	34%	35	33	6	1	0	0	2	10	0	1	0	203	267	285	552	82	281	29	6	252	56	-2	+0	+0	+1	+1	-0.0
2029	23	MLB CTX	TB	48%	88	81	17	3	1	1	6	25	1	2	0	207	271	296	568	90	283	28	7	258	60	-4	+0	+0	+2	+2	-0.0
2030	24	MLB CTX	TB	53%	140	127	27	4	1	2	10	40	2	3	1	210	275	306	581	96	285	29	7	264	64	-6	+0	+0	+3	+3	-0.0
2031	25	MLB CTX	TB	55%	181	164	35	6	1	3	13	51	2	4	1	213	278	313	592	101	285	28	7	268	67	-7	+0	+0	+3	+4	0.0
2032	26	MLB CTX	TB	56%	206	187	40	7	1	3	15	57	2	4	1	214	280	319	599	104	285	28	7	271	69	-8	+0	+0	+4	+4	0.1
2033	27	MLB CTX	TB	55%	213	194	42	7	1	4	15	59	2	4	1	213	279	316	596	103	285	28	7	270	68	-8	+0	+0	+4	+5	0.1
2034	28	MLB CTX	TB	55%	215	196	41	7	1	3	15	60	2	4	1	211	277	312	589	100	284	28	7	267	66	-9	+0	-0	+4	+5	-0.0
2035	29	MLB CTX	TB	53%	207	188	39	6	1	3	15	59	2	4	1	209	274	305	580	96	282	29	7	263	64	-9	+0	-1	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1285	1170	247	41	7	19	91	361	13	26	6	211	276	307	582	96	286	28	7	266	54	-53	+3	-1	+23	+28	-0.0
/ 162G	—	A+C		—	650	592	126	21	4	10	46	183	7	13	3	213	278	312	590	100	289	28	7	266	54	-27	+1	-1	+12	+14	-0.0
Career	—	MLE		—	2928	2658	519	88	15	38	208	860	35	66	15	195	263	283	545	87	271	29	7	248	54	-103	+5	-2	+44	+53	-0.3
/ 162G	—	MLE		—	650	590	115	20	3	8	46	191	8	15	3	195	262	280	542	85	271	29	7	248	54	-27	+1	-1	+12	+14	-0.1

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 Rays · 94 PAwOBA .272 → .203 (−69)K% 19.1% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.15%	÷1.000	×1.440	—	—	27.57%
BB% (unintentional) /PA	9.57%	÷1.000	×0.620	—	×0.995	5.91%
HBP% /PA	3.19%	—	×0.720	—	×0.995	2.29%
Singles /BIP	24.19%	÷1.000	×0.820	×1.029	×0.995	20.30%
Doubles /BIP	4.84%	÷1.000	×0.720	×1.029	×0.995	3.57%
Triples /BIP	0.00%	÷1.000	×0.720	×1.029	×0.995	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.995	0.00%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .272 → .203; ISO .037 → .027; BABIP .286 → .235. 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 Tampa Bay · 141 PAwOBA .240 → .153 (−87)K% 24.1% → 29.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.11%	÷1.005	×1.220	—	—	29.28%
BB% (unintentional) /PA	11.35%	÷1.011	×0.700	—	×0.995	7.82%
HBP% /PA	1.42%	—	×0.700	—	×0.995	0.99%
Singles /BIP	18.60%	÷1.054	×0.680	×0.987	×0.995	11.79%
Doubles /BIP	1.16%	÷0.944	×0.600	×0.987	×0.995	0.73%
Triples /BIP	1.16%	÷1.150	×0.600	×0.987	×0.995	0.60%
Home runs /BIP	2.33%	÷0.952	×0.470	—	×0.995	1.14%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 111, 2B 89, 3B 130, K 101, BB 102 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .240 → .153; ISO .075 → .039; BABIP .209 → .130. 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).

2024 DSLDSL Tampa Bay · 112 PAwOBA .240 → .155 (−85)K% 33.9% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.93%	÷0.975	×1.220	—	—	42.46%
BB% (unintentional) /PA	8.04%	÷1.011	×0.700	—	×1.008	5.61%
HBP% /PA	2.68%	—	×0.700	—	×1.008	1.89%
Singles /BIP	23.33%	÷0.963	×0.680	×0.965	×1.008	16.02%
Doubles /BIP	8.33%	÷0.945	×0.600	×0.965	×1.008	5.14%
Triples /BIP	0.00%	÷0.900	×0.600	×0.965	×1.008	0.00%
Home runs /BIP	0.00%	÷0.982	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 93, 2B 89, 3B 80, K 95, BB 102 — 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 ×0.965.

Result: wOBA .240 → .155; ISO .051 → .029; BABIP .317 → .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).

2023 DSLDSL Tampa Bay · 112 PAwOBA .227 → .147 (−80)K% 37.5% → 45.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.50%	÷0.999	×1.220	—	—	45.79%
BB% (unintentional) /PA	11.61%	÷1.025	×0.700	—	×1.022	8.11%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	22.81%	÷0.963	×0.680	×1.023	×1.022	16.85%
Doubles /BIP	7.02%	÷1.106	×0.600	×1.023	×1.022	3.98%
Triples /BIP	0.00%	÷1.061	×0.600	×1.023	×1.022	0.00%
Home runs /BIP	0.00%	÷1.121	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 93, 2B 121, 3B 112, K 100, BB 105 — 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 ×1.023.

Result: wOBA .227 → .147; ISO .040 → .021; BABIP .298 → .208. 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
#1Curt 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
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#4Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.0	1,335	21	26	210	272	310	+24	+20	0.8	0.8
/162	664	10	13	+11.9	+9.9	0.4	pk7: 1
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
#6Matt Walbeck'93-'03 * career totals — 9 seasons, 2,280 PA	3.4	2,280	28	13	222*	268*	305*	+40	-0	-3.5	-1.5
/162	664	8	4	+11.5	-0.0	-1.0	pk7: 0

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 De Sousa (OGILVIE)	21	37→42	31→36	49→54	51	194/257/267	73	276	0	1	30%	7%	50	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕José Alvarez 2021 · A	21	45	36→40	49→50	43	213/268/283	70	286	3	6	26%	6%	57	-1.8	223/273/288	65	326	3	9	30%	6%	59	-1.6	234/283/282	48	330	2	10	28%	6%	58	-0.7
✕Tyler Ladendorf 2009 · A	21	39→49	37→40	53→50	43	188/255/262	74	250	4	9	25%	6%	48	-2.5	214/265/304	90	276	6	9	24%	6%	61	-1.5	224/285/315	91	283	6	3	22%	7%	69	-0.4
✕Francisco Acuna 2021 · A	21	44→47	37→45	49→50	42	209/268/285	76	291	4	7	28%	6%	58	-1.7	192/272/283	91	271	6	10	30%	7%	60	-1.6	213/284/310	97	279	9	16	25%	7%	68	-0.5
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Victor Duarte 2022 · A	21	38	38→30	48→45	42	185/249/264	79	253	5	7	28%	6%	47	-2.6	199/274/279	80	289	6	6	31%	7%	59	-1.6	182/251/245	63	250	5	11	28%	7%	41	-0.8
✕Leonel Espinoza 2024 · A	21	43→45	38→40	49→55	41	205/269/286	81	285	6	14	28%	6%	59	-1.7	211/272/299	88	300	7	15	30%	6%	63	-1.4	203/263/287	84	286	7	18	30%	6%	53	-1.1
✕Kyle Nevin 2023 · A	21	41→40	40	52→50	39	199/251/297	98	277	6	10	29%	5%	54	-2.0	219/276/320	101	333	8	10	34%	7%	69	-0.9	214/275/310	96	327	9	12	35%	7%	64	-0.8
✕Jeremy Rivas 2024 · A	21	41→51	35→40	48→55	41	194/250/249	55	276	3	13	30%	6%	42	-2.9	207/275/276	69	293	6	20	29%	7%	59	-1.7	206/281/275	68	291	7	24	29%	8%	59	-1.1
✕Gioskar Amaya 2014 · A	21	44→49	39→40	49→50	40	209/263/301	92	290	5	9	29%	5%	59	-1.6	208/274/287	79	291	5	10	28%	7%	61	-1.5	200/270/271	71	280	5	10	28%	7%	53	-1.4
✕Chris Roller 2018 · A	21	37	37→45	53→55	45	177/253/254	77	242	4	12	27%	8%	46	-2.6	204/272/316	112	294	8	11	31%	7%	67	-1.1	189/255/293	104	275	7	15	32%	6%	54	-1.0
✕Jesus Villegas 2008 · A	21	40	36→40	50	40	188/251/259	71	251	3	8	25%	5%	46	-2.6	224/279/291	67	292	4	7	23%	6%	63	-1.4	235/284/293	59	303	4	8	23%	5%	62	-0.5
✕Kenneth Betancourt 2021 · A	21	41→51	35→30	50	39	196/239/263	66	272	2	9	28%	5%	40	-3.0	219/261/284	65	297	3	8	26%	5%	54	-2.0	239/279/298	59	308	3	9	23%	5%	61	-0.7
✕Arturo De Freitas 2022 · A	21	43	38→40	50→40	39	206/265/288	82	288	5	8	29%	5%	57	-1.8	174/223/247	73	284	7	4	39%	5%	32	-3.6	143/186/215	72	238	8	0	42%	4%	9	-1.6
✕Luis Carpio 2018 · A	21	44→43	36→45	49→50	45	209/265/275	65	275	3	10	24%	7%	54	-2.0	211/272/306	95	273	8	8	24%	7%	64	-1.3	211/272/293	83	286	6	8	27%	7%	58	-0.9
✕Yorberto Mejicano 2021 · A	20	44	36→45	53→45	48	207/271/275	68	270	3	10	23%	8%	57	-1.8	225/279/332	107	302	11	8	28%	6%	73	-0.6	213/267/311	98	282	10	9	27%	6%	61	-0.6
✕Yeison Santana 2022 · A	21	43	37→30	45→55	39	200/262/271	71	316	5	10	36%	7%	52	-2.2	221/289/285	64	313	3	15	28%	8%	66	-1.1	229/310/271	42	311	2	22	24%	10%	67	-0.6
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Jose Cordoba 2024 · A	21	43	40	47→55	41	208/265/304	96	287	7	9	29%	6%	61	-1.5	202/256/294	92	268	6	14	26%	5%	55	-1.9	190/244/281	91	247	7	18	25%	5%	45	-1.2
✕Imbewer Alvarez 2007 · A	21	39	38→40	45→55	39	187/243/268	81	270	4	8	31%	6%	45	-2.7	194/262/265	71	270	4	15	28%	7%	51	-2.2	186/265/247	62	244	4	22	24%	8%	47	-0.7
✕Brandon Dailey 2013 · A	21	42	40→45	55	37	203/249/301	98	294	7	12	32%	5%	54	-2.0	195/248/297	102	288	9	6	34%	6%	53	-2.1	144/199/220	76	199	6	0	30%	5%	17	-1.1

Carlos De Sousa

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps