Joseph Sequera

C DSL Pirates Gold

Age 21 R/R 6'0" / 185 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1519ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	17	ROKDSL Pirates B…	83	.236/.337/.333	1	1	13	—	.122/.217/.149
2024	18	ROKDSL Pirates G…	95	.228/.351/.304	0	0	17	—	.134/.245/.171
2025	19	ROKDSL Pirates G…	98	.219/.412/.315	1	6	39	—	.127/.289/.152
2027PROJMLE	21	MLBPIT	208	.202/.283/.276	1	3	62	0.0
2028PROJ34% MLB	22	MLBPIT	24	.207/.288/.290	0	0	66	-0.0
2029PROJ48% MLB	23	MLBPIT	75	.211/.291/.302	1	1	71	0.1

Next 3 projected WAR 0.1Projected 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 2025 Rk

BB%88

K%71

wRC+70

wOBA68

Z-Con%66

Chase%55

CompsLuis Tejada (age 21) · Jose Paniagua (age 21) · Rainer Nunez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 36 proj PA

wRC+†62

AVG/OBP/SLG.200 / .281 / .274

PA36

HR0

K%29

BB%8

ISO74

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M 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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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 Pirates Black	—	83	72	17	4	0	1	7	33	4	1	0	236	337	333	671	97	421	40	8	312	13	—	—	—	—	—	—
2024	18	ROK	DSL Pirates Gold	—	95	79	18	6	0	0	9	31	6	0	0	228	351	304	655	76	375	33	9	308	17	—	—	—	—	—	—
2025	19	ROK	DSL Pirates Gold	—	98	73	16	4	0	1	20	17	4	6	1	219	412	315	727	96	268	17	20	348	39	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Pirates Black	—	83	74	9	2	0	0	5	40	4	1	0	122	217	149	366	27	276	48	6	187	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL Pirates Gold	—	95	82	11	3	0	0	6	37	6	0	0	134	245	171	415	37	233	39	6	193	17	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	98	79	10	2	0	0	14	21	4	6	1	127	289	152	441	25	165	21	14	226	39	—	—	—	—	—	—
2023	17	ROK MLE	DSL Pirates Black	—	83	74	9	2	0	0	5	40	4	1	0	122	217	149	366	27	265	48	6	187	13	—	—	—	—	—	—
2023	17	ROK RAW	DSL Pirates Black	—	83	72	17	4	0	1	7	33	4	1	0	236	337	333	671	97	421	40	8	312	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL Pirates Gold	—	95	82	11	3	0	0	6	37	6	0	0	134	245	171	415	37	244	39	6	193	17	—	—	—	—	—	—
2024	18	ROK RAW	DSL Pirates Gold	—	95	79	18	6	0	0	9	31	6	0	0	228	351	304	655	76	375	33	9	308	17	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	98	79	10	2	0	0	14	21	4	6	1	127	289	152	441	25	169	21	14	226	39	—	—	—	—	—	—
2025	19	ROK RAW	DSL Pirates Gold	—	98	73	16	4	0	1	20	17	4	6	1	219	412	315	727	96	268	17	20	348	39	—	—	—	—	—	—
2023	17	ROK MLE	DSL Pirates Black	—	83	74	9	2	0	0	5	40	4	1	0	122	217	149	366	27	276	48	6	187	13	—	—	—	—	—	—
2024	18	ROK MLE	DSL Pirates Gold	—	95	83	11	3	0	0	6	37	6	0	0	133	245	169	413	36	233	39	6	193	17	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	98	80	10	2	0	0	14	21	4	6	1	125	289	150	439	25	165	21	14	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Pirates Gold	—	95	83	11	3	0	0	6	37	6	0	0	133	245	169	413	36	233	39	6	193	17	—	—	—	—	—	—
2025	19	ROK MLE	DSL Pirates Gold	—	98	80	10	2	0	0	14	21	4	6	1	125	289	150	439	25	165	21	14	226	39	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	PIT	0%	208	185	37	7	1	1	17	60	4	3	1	202	283	276	560	74	287	29	8	259	62	-10	+0	+0	+4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	PIT	34%	71	64	12	2	0	1	6	20	1	1	0	207	288	291	579	84	289	28	8	266	66	-3	+0	+0	+1	+2	0.0
2029	23	MLB MLE	PIT	48%	155	138	30	6	1	2	13	44	3	3	1	211	291	304	595	93	290	28	8	273	71	-5	+0	+0	+3	+3	0.1
2030	24	MLB MLE	PIT	53%	237	211	45	9	1	3	20	66	4	4	1	214	294	314	609	100	291	28	8	278	74	-7	+0	+0	+4	+5	0.3
2031	25	MLB MLE	PIT	55%	307	273	60	11	2	5	26	84	5	5	1	217	296	323	620	107	291	27	8	282	77	-8	+1	+0	+5	+7	0.4
2032	26	MLB MLE	PIT	56%	356	317	69	13	2	6	30	97	6	6	2	219	298	330	628	112	291	27	8	285	79	-9	+0	+0	+6	+8	0.6
2033	27	MLB MLE	PIT	59%	379	338	73	14	2	6	32	104	6	7	2	217	297	328	624	110	290	27	8	284	78	-10	+1	+0	+7	+8	0.6
2034	28	MLB MLE	PIT	61%	387	346	74	14	2	6	32	107	6	6	2	216	295	323	618	107	289	28	8	281	76	-11	+0	-1	+7	+8	0.4
2035	29	MLB MLE	PIT	63%	385	344	74	14	2	6	32	107	6	6	2	213	292	316	608	103	288	28	8	277	74	-12	+0	-1	+7	+8	0.2
2036	30	MLB MLE	PIT	63%	377	337	71	13	2	6	31	106	6	6	2	210	288	308	597	99	286	28	8	273	71	-13	+0	-2	+7	+8	0.0
2028	22	MLB CTX	PIT	34%	24	22	4	1	0	0	2	7	0	0	0	207	288	290	578	84	290	29	8	266	66	-1	+0	+0	+0	+1	-0.0
2029	23	MLB CTX	PIT	48%	75	68	14	3	0	1	6	21	1	1	0	211	291	302	593	92	291	28	8	272	71	-3	+0	+0	+1	+2	0.1
2030	24	MLB CTX	PIT	53%	125	112	25	5	1	2	10	35	2	2	1	214	294	312	606	99	292	28	8	277	74	-4	+0	+0	+2	+3	0.1
2031	25	MLB CTX	PIT	55%	168	149	32	6	1	2	14	46	3	3	1	216	296	321	617	104	292	27	8	281	77	-5	+0	+0	+3	+4	0.2
2032	26	MLB CTX	PIT	56%	198	176	39	8	1	3	17	54	3	3	1	218	298	327	625	109	292	27	9	284	79	-5	+0	+0	+4	+4	0.3
2033	27	MLB CTX	PIT	59%	224	199	44	9	1	4	19	61	4	4	1	217	297	325	621	108	291	27	8	283	78	-6	+0	+0	+4	+5	0.4
2034	28	MLB CTX	PIT	61%	238	212	46	9	1	4	20	66	4	4	1	215	295	320	614	105	290	28	8	280	76	-7	+0	-0	+4	+5	0.3
2035	29	MLB CTX	PIT	63%	241	215	45	9	1	3	20	67	4	4	1	213	292	314	605	101	289	28	8	276	74	-7	+0	-1	+4	+5	0.2
2036	30	MLB CTX	PIT	63%	239	213	45	9	1	3	20	67	4	4	2	210	288	306	594	96	287	28	8	272	71	-8	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1532	1366	294	59	7	22	128	424	25	25	8	215	294	317	611	102	293	28	8	278	70	-45	+2	-3	+27	+33	1.5
/ 162G	—	A+C		—	650	580	124	25	3	9	54	180	11	11	3	214	293	314	607	100	292	28	8	278	70	-19	+1	-1	+12	+14	0.6
Career	—	MLE		—	2966	2635	544	104	14	41	250	843	58	52	14	206	290	303	593	97	285	28	8	272	70	-80	+4	-4	+48	+58	2.6
/ 162G	—	MLE		—	650	577	119	23	3	9	55	185	13	11	3	206	290	303	593	97	285	28	8	272	70	-19	+1	-1	+12	+14	0.6

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.

2025 DSLDSL Pirates Gold · 98 PAwOBA .344 → .226 (−118)K% 17.3% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.35%	÷0.975	×1.220	—	—	21.71%
BB% (unintentional) /PA	20.41%	÷1.010	×0.700	—	×0.985	13.94%
HBP% /PA	4.08%	—	×0.700	—	×0.985	2.81%
Singles /BIP	19.64%	÷0.973	×0.680	×0.953	×0.985	12.88%
Doubles /BIP	7.14%	÷1.061	×0.600	×0.953	×0.985	3.79%
Triples /BIP	0.00%	÷1.077	×0.600	×0.953	×0.985	0.00%
Home runs /BIP	1.79%	÷1.181	×0.470	—	×0.985	0.70%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 95, 2B 112, 3B 115, K 95, BB 102 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.

Result: wOBA .344 → .226; ISO .096 → .049; BABIP .268 → .165. 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 Pirates Gold · 95 PAwOBA .301 → .193 (−108)K% 32.6% → 39.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.63%	÷1.011	×1.220	—	—	39.38%
BB% (unintentional) /PA	9.47%	÷0.971	×0.700	—	×0.995	6.80%
HBP% /PA	6.32%	—	×0.700	—	×0.995	4.40%
Singles /BIP	25.00%	÷1.024	×0.680	×0.997	×0.995	16.47%
Doubles /BIP	12.50%	÷1.084	×0.600	×0.997	×0.995	6.86%
Triples /BIP	0.00%	÷0.989	×0.600	×0.997	×0.995	0.00%
Home runs /BIP	0.00%	÷0.847	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 69, 1B 105, 2B 117, 3B 98, K 102, BB 94 — 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 ×0.997.

Result: wOBA .301 → .193; ISO .076 → .041; BABIP .375 → .233. 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 Pirates Black · 83 PAwOBA .304 → .187 (−118)K% 39.8% → 48.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.76%	÷1.000	×1.220	—	—	48.51%
BB% (unintentional) /PA	8.43%	÷1.000	×0.700	—	×1.008	5.95%
HBP% /PA	4.82%	—	×0.700	—	×1.008	3.40%
Singles /BIP	30.77%	÷1.000	×0.680	—	×1.008	21.08%
Doubles /BIP	10.26%	÷1.000	×0.600	—	×1.008	6.20%
Triples /BIP	0.00%	÷1.000	×0.600	—	×1.008	0.00%
Home runs /BIP	2.56%	÷1.000	×0.470	—	×1.008	1.21%

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).

Result: wOBA .304 → .187; ISO .097 → .048; BABIP .421 → .276. 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
#3Ben 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
#4Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.4	1,568	24	26	215	291	320	+28	+24	2.6	2.5
/162	664	10	11	+11.9	+10.2	1.1	pk7: 2
#5Chad 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
#6Steve 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

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
Joseph Sequera (OGILVIE)	21	—	—	—	—	200/281/274	74	287	0	1	29%	8%	62	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Tejada 2014 · A	21	41→44	36→45	52→50	38	195/236/262	67	270	3	13	28%	4%	40	-3.1	210/252/296	86	278	7	9	26%	4%	54	-2.0	216/264/322	106	271	10	7	23%	5%	62	-0.8
✕Jose Paniagua 2015 · A	21	35	38→45	50→55	46	171/238/253	82	230	5	12	27%	8%	40	-3.1	191/242/280	89	274	7	8	31%	6%	47	-2.6	177/211/272	96	252	10	2	33%	3%	30	-1.1
✕Rainer Nunez 2021 · A	20	36→46	38→45	39→30	42	177/227/252	75	224	6	4	24%	5%	35	-3.4	223/269/348	125	291	14	2	28%	5%	73	-0.6	237/278/350	113	315	14	1	28%	5%	74	-0.5
✕David Medina 2009 · A	20	34→42	36→45	45→40	43	164/244/230	65	258	4	5	35%	9%	37	-3.3	201/260/298	97	309	8	4	35%	7%	58	-1.7	196/247/303	107	299	9	2	36%	6%	51	-1.2
✕Joey Curletta 2013 · A	19	39→49	36→55	48→45	36	181/240/242	62	306	3	5	40%	6%	38	-3.2	216/268/306	90	297	7	5	28%	6%	62	-1.4	208/273/366	158	289	20	4	34%	8%	79	-0.2
✕Matt Dean 2013 · A	20	40→49	38→45	48→40	31	181/228/264	83	330	5	6	44%	5%	37	-3.3	217/259/325	108	336	9	5	36%	4%	63	-1.3	215/259/328	114	327	10	3	36%	4%	61	-1.0
✕Antonio Jimenez 2008 · A	21	36→39	39→40	49→50	39	180/227/266	86	249	6	5	30%	6%	37	-3.3	185/217/251	66	296	3	10	37%	4%	30	-3.8	176/204/232	56	287	2	12	38%	3%	18	-2.6
✕Gabriel Moncada 2021 · A	19	40→41	35→45	45→40	43	190/242/250	60	255	2	6	25%	6%	40	-3.1	206/288/306	100	297	8	4	31%	9%	72	-0.7	196/281/311	115	285	11	2	33%	9%	68	-0.5
✕Juan Kelly 2013 · A	19	37→47	35→45	47→45	48	176/243/232	56	227	2	6	23%	8%	36	-3.3	191/269/255	64	241	3	8	20%	9%	52	-2.2	215/276/341	126	296	11	3	30%	7%	73	-0.5
✕Kelly Aponte 2011 · A	20	36	39→40	49→45	37	177/229/259	82	276	6	4	37%	6%	37	-3.3	195/266/282	87	265	7	6	27%	8%	57	-1.8	174/267/258	85	216	8	5	22%	10%	53	-0.8
✕Webster Rivas 2013 · A	22	40	36→40	40	47	184/241/247	63	217	3	4	17%	6%	39	-3.1	206/248/278	72	257	5	3	21%	5%	48	-2.5	208/282/293	85	269	8	1	24%	9%	64	-0.6
✕Luis Paz 2017 · A	21	36→33	40→45	50→40	37	179/225/274	95	258	6	6	32%	5%	38	-3.2	200/245/335	135	295	16	4	36%	5%	61	-1.5	185/230/333	148	257	20	1	36%	5%	53	-1.5
✕Dalton Smith 2014 · A	20	38	37→40	44→30	36	184/231/256	72	278	5	5	34%	5%	37	-3.3	193/249/279	86	277	7	5	31%	6%	50	-2.3	164/225/245	81	225	8	1	30%	6%	32	-1.3
✕Héctor Gómez 2009 · A	21	33	38→40	49→50	48	167/242/239	73	228	6	10	28%	9%	38	-3.2	181/238/259	78	266	4	7	31%	7%	40	-3.0	137/172/221	84	204	3	2	33%	4%	3	-1.4
✕Robert Jacobsen 2007 · A	22	41→51	34→40	53→50	37	193/244/243	50	300	2	13	34%	6%	38	-3.2	197/252/261	64	314	3	10	35%	6%	46	-2.6	203/251/270	67	316	3	8	35%	5%	45	-1.2
✕Jake Gatewood 2017 · A	21	35→40	41→50	42→45	30	181/213/279	98	282	9	5	39%	4%	35	-3.4	192/234/316	124	303	14	5	39%	5%	53	-2.1	180/226/307	128	284	15	5	41%	5%	46	-2.0
✕Roberto Perez 2008 · A	19	34	37→40	48→30	42	168/240/236	68	248	5	4	32%	7%	37	-3.3	168/239/242	74	220	6	3	25%	7%	38	-3.2	140/217/207	68	172	7	1	23%	8%	22	-1.6
✕Jose Vicente 2015 · A	19	40→39	35→50	46→30	43	188/234/251	63	233	2	6	20%	5%	37	-3.3	197/250/284	87	251	6	4	23%	6%	51	-2.3	209/240/342	133	275	15	1	29%	4%	57	-0.7
✕K.J. Woods 2015 · A	20	41	36→45	45→30	33	182/243/245	63	343	5	6	45%	6%	40	-3.1	196/265/310	114	342	12	3	43%	7%	63	-1.3	184/257/304	120	316	14	0	43%	8%	57	-1.1
✕Brody Westmoreland 2017 · A	21	40	38→45	52→30	30	170/230/247	77	349	5	5	50%	6%	35	-3.4	187/245/288	101	330	10	4	43%	6%	50	-2.3	155/214/263	108	257	14	1	44%	6%	32	-1.4

Joseph Sequera

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps