Bladimir Figueredo

C DSL Tampa Bay

Age 19 R/R 5'8" / 171 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1240ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKTB	103	.267/.376/.337	1	2	34	—	.167/.257/.189
2026	18	ROKDSL Tampa Bay	196	.244/.385/.327	2	6	35	—	.152/.271/.194
2027PROJMLE	19	MLBTB	306	.213/.287/.288	3	5	65	0.1
2028PROJ34% MLB	20	MLBTB	53	.219/.295/.303	1	1	70	0.0
2029PROJ48% MLB	21	MLBTB	125	.223/.299/.314	2	2	75	0.1

Next 3 projected WAR 0.3Projected 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

Whiff%71

K%62

Chase%51

BB%49

Z-Con%49

wRC+43

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

CompsCooper Pratt (age 19) · Jacob Amaya (age 19) · Jesus Rodriguez (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 103 proj PA

wRC+†65

AVG/OBP/SLG.211 / .285 / .285

PA103

HR1

K%26

BB%8

ISO75

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 51 / POW 36

Toolsscout grade

CONTACT51

scouting grade only

POWER36

scouting grade only

EYE61

scouting grade only

SPEED52

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	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.0M
2037	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2038	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$5M	+$2M

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 Rays	—	103	86	23	3	0	1	13	23	2	2	2	267	376	337	713	70	344	22	13	327	34	—	—	—	—	—	—
2026	18	ROK	DSL Tampa Bay	—	196	156	38	7	0	2	30	37	6	6	2	244	385	327	712	83	300	19	15	330	35	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rays	—	103	90	15	2	0	0	9	28	2	2	2	167	257	189	446	22	225	27	9	218	34	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	196	165	25	4	0	1	21	45	6	6	2	152	271	194	465	42	189	23	11	220	35	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	103	90	15	2	0	0	9	28	2	2	2	167	257	189	446	22	234	27	9	218	34	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rays	—	103	86	23	3	0	1	13	23	2	2	2	267	376	337	713	70	344	22	13	327	34	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	196	165	25	4	0	1	21	45	6	6	2	152	271	194	465	42	197	23	11	220	35	—	—	—	—	—	—
2026	18	ROK RAW	DSL Tampa Bay	—	196	156	38	7	0	2	30	37	6	6	2	244	385	327	712	83	300	19	15	330	35	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	103	91	15	2	0	0	9	28	2	2	2	165	257	187	444	22	225	27	9	218	34	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	196	167	25	4	0	1	21	45	6	6	2	150	271	192	462	42	189	23	11	220	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Rays	—	103	91	15	2	0	0	9	28	2	2	2	165	257	187	444	22	225	27	9	218	34	—	—	—	—	—	—
2026	18	ROK MLE	DSL Tampa Bay	—	196	167	25	4	0	1	21	45	6	6	2	150	271	192	462	42	189	23	11	220	35	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	TB	0%	306	274	59	9	2	3	25	79	4	5	1	213	287	288	575	75	286	26	8	264	65	-13	+1	+0	+5	+7	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	TB	34%	153	137	30	5	1	2	13	39	2	3	1	217	292	302	594	85	288	25	8	272	70	-5	+0	+0	+3	+3	0.1
2029	21	MLB MLE	TB	48%	259	232	50	8	1	3	21	65	4	5	2	220	296	313	610	93	289	25	8	278	75	-8	+0	+0	+5	+6	0.3
2030	22	MLB MLE	TB	54%	366	328	74	12	2	6	30	92	5	7	3	223	299	323	622	100	290	25	8	283	78	-10	+0	+0	+7	+8	0.5
2031	23	MLB MLE	TB	57%	438	393	88	15	2	7	36	109	6	9	3	226	302	331	633	105	291	25	8	287	81	-10	+1	+0	+8	+9	0.8
2032	24	MLB MLE	TB	57%	445	399	90	15	2	8	37	110	6	9	3	228	304	337	641	109	292	25	8	291	83	-9	+1	+0	+8	+10	0.9
2033	25	MLB MLE	TB	57%	445	399	90	15	2	8	37	110	6	9	3	228	304	339	643	110	292	25	8	291	83	-9	+1	+0	+8	+10	0.9
2034	26	MLB MLE	TB	56%	445	399	90	15	2	8	37	110	6	9	3	228	304	339	643	111	291	25	8	291	83	-9	+1	+0	+8	+10	1.0
2035	27	MLB MLE	TB	55%	445	399	90	15	2	8	37	110	6	9	3	227	303	336	639	109	291	25	8	290	82	-9	+1	+0	+8	+10	0.9
2036	28	MLB MLE	TB	55%	445	399	90	15	2	8	37	111	6	8	3	225	301	331	632	106	290	25	8	287	80	-10	+0	-1	+8	+10	0.7
2037	29	MLB MLE	TB	53%	445	399	89	15	2	7	37	112	6	7	4	223	298	325	623	102	288	25	8	283	78	-12	-0	-1	+8	+10	0.4
2038	30	MLB MLE	TB	53%	445	399	87	14	2	7	37	114	6	7	4	220	294	317	612	98	286	26	8	279	75	-13	-0	-2	+8	+10	0.2
2039	31	MLB MLE	TB	57%	426	383	82	13	2	6	35	111	5	6	5	215	289	307	597	92	283	26	8	272	71	-15	-1	-3	+8	+9	-0.2
2028	20	MLB CTX	TB	34%	53	48	11	2	0	1	4	14	1	1	0	219	295	303	598	84	291	26	8	274	70	-2	+0	+0	+1	+1	0.0
2029	21	MLB CTX	TB	48%	125	112	26	4	1	2	10	32	2	2	1	223	299	314	613	92	293	26	8	280	75	-4	+0	+0	+2	+3	0.1
2030	22	MLB CTX	TB	54%	198	177	40	6	1	3	16	50	3	4	1	226	302	324	625	98	294	25	8	285	78	-5	+0	+0	+4	+4	0.3
2031	23	MLB CTX	TB	57%	248	222	50	8	1	4	21	62	3	5	2	228	304	332	635	103	295	25	8	289	81	-6	+0	+0	+4	+5	0.4
2032	24	MLB CTX	TB	57%	252	226	51	8	1	4	21	62	3	5	2	230	306	338	644	108	295	25	8	292	83	-5	+0	+0	+4	+5	0.5
2033	25	MLB CTX	TB	57%	251	225	51	8	1	4	21	62	3	5	2	231	306	339	645	109	295	25	8	292	83	-5	+0	+0	+4	+5	0.5
2034	26	MLB CTX	TB	56%	251	225	51	8	1	4	21	62	3	5	2	230	306	339	645	109	295	25	8	292	83	-5	+0	+0	+4	+5	0.5
2035	27	MLB CTX	TB	55%	247	221	50	8	1	4	21	61	3	5	2	229	305	337	642	107	295	25	9	291	82	-5	+0	+0	+4	+5	0.5
2036	28	MLB CTX	TB	55%	244	219	49	8	1	4	20	61	3	4	2	227	303	332	635	105	294	25	8	288	80	-6	+0	-0	+4	+5	0.4
2037	29	MLB CTX	TB	53%	238	213	48	8	1	4	20	60	3	4	2	225	300	326	626	101	292	25	8	285	78	-6	+0	-1	+4	+5	0.2
2038	30	MLB CTX	TB	53%	234	210	47	7	1	4	19	60	3	4	2	222	296	318	614	96	290	26	8	280	75	-7	+0	-1	+4	+5	0.1
2039	31	MLB CTX	TB	57%	241	216	46	7	1	3	20	63	3	3	3	218	291	308	599	90	287	26	8	274	71	-8	-1	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2582	2314	520	82	11	41	214	649	33	47	21	225	299	323	622	98	293	25	8	286	76	-64	+1	-4	+46	+56	3.6
/ 162G	—	A+C		—	650	583	131	21	3	10	54	163	8	12	5	225	300	322	622	98	293	25	8	286	76	-16	+0	-1	+12	+14	0.9
Career	—	MLE		—	5159	4614	1010	166	23	80	432	1293	73	98	41	219	296	317	613	98	284	25	8	281	76	-124	+3	-7	+87	+105	6.6
/ 162G	—	MLE		—	650	581	127	21	3	10	54	163	9	12	5	219	295	317	612	98	284	25	8	281	76	-17	+0	-1	+12	+14	0.9

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 Tampa Bay · 196 PAwOBA .328 → .220 (−108)K% 18.9% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.88%	÷1.000	×1.220	—	—	23.03%
BB% (unintentional) /PA	15.31%	÷1.000	×0.700	—	×1.008	10.79%
HBP% /PA	3.06%	—	×0.700	—	×1.008	2.16%
Singles /BIP	24.37%	÷1.000	×0.680	×0.950	×1.008	15.86%
Doubles /BIP	5.88%	÷1.000	×0.600	×0.950	×1.008	3.38%
Triples /BIP	0.00%	÷1.000	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	1.68%	÷1.000	×0.470	—	×1.008	0.80%

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 .328 → .220; ISO .083 → .046; BABIP .300 → .189. 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 Rays · 103 PAwOBA .325 → .218 (−107)K% 22.3% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.33%	÷1.003	×1.220	—	—	27.16%
BB% (unintentional) /PA	12.62%	÷1.020	×0.700	—	×1.022	8.85%
HBP% /PA	1.94%	—	×0.700	—	×1.022	1.39%
Singles /BIP	30.16%	÷0.985	×0.680	×0.950	×1.022	20.23%
Doubles /BIP	4.76%	÷0.989	×0.600	×0.950	×1.022	2.81%
Triples /BIP	0.00%	÷1.150	×0.600	×0.950	×1.022	0.00%
Home runs /BIP	1.59%	÷1.022	×0.470	—	×1.022	0.75%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 97, 2B 98, 3B 130, K 101, BB 104 — 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 ×0.950.

Result: wOBA .325 → .218; ISO .070 → .038; BABIP .344 → .225. 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
#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
#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 7 projected seasons	4.0	2,686	43	49	225	297	328	+48	+28	5.5	4.9
/162	664	11	12	+11.9	+6.9	1.4	pk7: 4
#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
Bladimir Figueredo (OGILVIE)	19	46→51	31→36	47→52	61	211/285/285	75	286	1	2	26%	8%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cooper Pratt 2024 · A	19	49→52	37→40	54→55	41	226/288/305	78	332	4	11	31%	6%	70	-0.9	228/299/323	95	293	8	23	23%	8%	78	-0.3	229/306/324	95	284	8	29	21%	9%	81	-0.1
✕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
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Rubén Tejada 2009 · A	19	47→57	36→40	47→50	47	220/280/288	68	271	3	9	19%	6%	63	-1.4	249/304/321	72	295	3	9	16%	6%	79	-0.2	264/320/329	64	312	2	6	15%	6%	86	+0.3
✕Jonathan Ornelas 2019 · A	19	46→56	40→45	53→50	44	219/282/318	99	308	7	14	30%	8%	70	-0.8	209/265/301	92	294	7	10	29%	6%	60	-1.6	251/312/338	87	342	8	12	27%	7%	83	+0.1
✕Adrián Sugastey 2022 · A	19	51	37→40	49→40	42	244/287/314	70	318	5	5	24%	5%	71	-0.8	222/270/304	82	282	6	3	22%	5%	62	-1.4	225/265/311	86	256	8	3	15%	4%	60	-0.7
✕Tyler Rodriguez 2024 · A	18	41	38→40	49→55	55	196/307/275	79	247	6	14	22%	11%	73	-0.6	208/326/276	68	266	5	17	21%	11%	80	-0.1	203/334/262	59	262	5	20	21%	12%	79	-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
✕Victor Rodrigues 2024 · A	19	42	37→30	47→50	51	198/275/273	75	246	5	10	21%	9%	58	-1.7	215/298/280	65	272	5	7	21%	10%	69	-0.9	213/306/263	50	270	4	5	20%	11%	66	-0.5
✕Juan Mora 2019 · A	19	44	37→45	46→55	51	205/287/284	78	263	3	8	22%	9%	65	-1.2	197/282/292	95	244	7	14	21%	8%	65	-1.2	200/269/297	97	251	8	12	23%	6%	60	-0.7
✕Ronny Hernandez 2024 · A	19	44→53	39→40	49→30	46	211/281/302	91	288	6	4	28%	8%	67	-1.1	227/301/310	83	296	7	3	24%	9%	76	-0.4	229/306/323	94	287	11	1	22%	10%	79	-0.1
✕George Lombard Jr. 2024 · A	19	51→48	39→45	48→55	49	232/311/316	85	335	6	12	30%	10%	81	-0.1	208/291/311	103	304	8	22	31%	9%	74	-0.6	208/297/325	117	296	10	23	30%	10%	77	-0.3
✕Manuel Palencia 2022 · A	19	45	35→40	48→40	47	210/268/274	64	254	2	9	18%	6%	55	-1.9	216/272/269	53	248	1	6	13%	7%	55	-1.9	224/277/259	35	251	0	4	10%	6%	51	-0.5
✕Luisangel Acuña 2021 · A	19	46→56	37→45	51→60	54	217/290/290	73	257	3	13	16%	9%	67	-1.1	237/295/343	106	326	11	30	28%	7%	81	-0.1	250/307/357	107	337	11	39	27%	7%	86	+0.2
✕Isiah Kiner-Falefa 2014 · A	19	51→58	34→40	50→55	44	236/285/290	53	305	2	14	22%	6%	64	-1.3	241/294/285	44	301	1	9	19%	6%	67	-1.1	265/312/343	78	301	6	21	14%	5%	87	+0.3
✕Gilberto Celestino 2018 · A	19	43→53	39→45	53→55	43	206/263/292	86	288	6	12	30%	7%	57	-1.8	220/271/312	92	287	7	10	24%	6%	65	-1.2	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕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
✕Andy Paz 2012 · A	19	47	36→40	44→45	52	220/303/284	64	270	3	8	18%	9%	72	-0.7	199/266/269	70	259	4	5	23%	8%	53	-2.1	215/270/283	69	275	5	4	23%	7%	55	-0.5
✕Jadher Areinamo 2023 · A	19	47→55	35→45	45→55	47	218/278/282	64	272	2	7	20%	6%	61	-1.5	242/281/336	94	284	7	15	17%	5%	74	-0.6	248/287/352	104	282	9	18	15%	5%	79	-0.2
✕José Mejía 2024 · A	18	47→45	37→40	52→50	50	220/299/296	76	279	4	16	21%	8%	72	-0.7	209/295/292	83	249	5	20	17%	9%	70	-0.8	206/298/295	89	251	6	19	19%	10%	70	-0.4

Bladimir Figueredo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps