Daniel Bucciero

3B Stockton Ports

Age 22 R/R 6'2" / 215 lbs A HR -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#927ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	21	A+/AOAK	539	.276/.393/.430	13	15	85	—	.229/.322/.348
2027PROJMLE	22	MLBOAK	648	.216/.305/.334	12	12	83	0.2
2028PROJ25% MLB	23	MLBOAK	125	.226/.314/.355	3	2	87	0.1
2029PROJ36% MLB	24	MLBOAK	196	.229/.316/.363	4	4	89	0.2

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

BB%86

Chase%86

Speed66

K%40

wOBA39

Whiff%35

Career WAR0.0 WAR median (P10 -0.3 / P90 1.5, comp-based) · star 1% · didn't stick 94%

CompsAlexander Campos (age 22) · José Caballero (age 22) · Leo Jiménez (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†83

AVG/OBP/SLG.214 / .302 / .331

PA210

HR4

K%27

BB%10

ISO118

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Arb-1	$0.6M	—	—	—
2036	Arb-2	$5M	—	—	—
2037	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.

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	21	A+	Lansing Lugnuts	—	192	158	34	6	2	3	32	50	2	4	3	215	354	335	690	120	295	26	17	322	61	—	—	—	—	—	—
2026	21	A	Stockton Ports	—	347	291	90	14	3	10	43	86	9	11	0	309	414	481	895	172	402	25	12	396	98	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A+ MLE	Lansing Lugnuts	—	192	167	31	5	2	2	23	64	2	4	3	186	292	275	567	90	278	33	12	258	61	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	347	304	77	11	3	8	30	117	9	11	0	253	338	388	726	135	364	34	9	313	98	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	539	471	107	16	4	10	53	180	11	15	3	227	320	342	661	115	340	33	10	293	85	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	539	449	124	20	5	13	75	136	11	15	3	276	393	430	822	154	365	25	14	369	85	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	539	470	107	16	4	10	53	180	11	15	3	228	320	343	662	115	333	33	10	293	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	2 teams	—	539	470	107	16	4	10	53	180	11	15	3	228	320	343	662	115	333	33	10	293	85	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	OAK	0%	648	570	123	22	4	12	64	176	9	12	3	216	305	334	639	118	286	27	10	291	83	-13	+1	-2	+2	+14	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	OAK	25%	504	442	98	18	3	11	50	134	7	9	2	220	308	345	654	125	287	27	10	296	87	-8	+1	-1	+2	+11	0.5
2029	24	MLB MLE	OAK	36%	542	476	106	19	3	12	54	142	7	10	3	223	311	353	664	130	288	26	10	300	89	-7	+1	-1	+2	+12	0.6
2030	25	MLB MLE	OAK	43%	560	493	110	20	3	13	55	146	7	10	3	225	312	357	669	133	289	26	10	302	91	-6	+1	-1	+2	+12	0.7
2031	26	MLB MLE	OAK	47%	578	509	115	21	3	14	57	149	7	11	3	225	312	359	672	134	288	26	10	303	91	-6	+1	-1	+2	+13	0.8
2032	27	MLB MLE	OAK	48%	582	513	116	21	3	14	57	150	7	10	3	225	311	359	671	134	288	26	10	303	91	-6	+1	-1	+2	+13	0.8
2033	28	MLB MLE	OAK	48%	576	508	113	21	3	13	56	150	7	9	3	223	309	354	663	131	287	26	10	300	89	-8	+1	-2	+2	+12	0.6
2034	29	MLB MLE	OAK	48%	562	495	109	20	3	12	55	148	7	8	3	221	306	347	654	127	285	26	10	296	86	-9	+0	-3	+2	+12	0.3
2035	30	MLB MLE	OAK	47%	550	486	106	19	3	12	53	146	6	8	3	217	302	339	641	122	283	27	10	291	83	-11	+0	-3	+2	+12	-0.0
2036	31	MLB MLE	OAK	47%	533	471	100	18	2	11	51	144	6	6	4	213	297	329	626	116	279	27	10	285	79	-13	-0	-4	+2	+12	-0.5
2028	23	MLB CTX	OAK	25%	125	110	26	5	1	3	12	33	2	2	1	226	314	355	669	129	297	26	10	302	87	-2	+0	-0	+0	+3	0.1
2029	24	MLB CTX	OAK	36%	196	172	39	8	1	4	19	51	3	4	1	229	316	363	679	134	298	26	10	306	89	-3	+0	-0	+1	+4	0.2
2030	25	MLB CTX	OAK	43%	239	210	48	10	1	5	24	62	3	4	1	231	317	367	684	137	298	26	10	308	91	-3	+0	-1	+1	+5	0.3
2031	26	MLB CTX	OAK	47%	269	238	55	11	2	6	26	69	3	5	1	232	318	369	687	138	298	26	10	309	91	-3	+1	-1	+1	+6	0.4
2032	27	MLB CTX	OAK	48%	277	245	56	11	2	6	27	71	3	5	1	231	317	369	686	138	297	26	10	309	91	-3	+1	-1	+1	+6	0.4
2033	28	MLB CTX	OAK	48%	278	246	56	11	2	6	27	72	3	5	1	229	315	364	679	135	296	26	10	306	89	-4	+1	-1	+1	+6	0.3
2034	29	MLB CTX	OAK	48%	267	236	54	11	1	6	26	70	3	4	1	227	312	357	669	131	294	26	10	302	86	-4	+0	-1	+1	+6	0.2
2035	30	MLB CTX	OAK	47%	259	229	50	10	1	5	25	69	3	4	1	223	308	349	656	125	292	27	10	297	83	-5	+0	-2	+1	+6	0.0
2036	31	MLB CTX	OAK	47%	249	220	48	9	1	5	24	67	3	3	2	219	303	338	641	119	288	27	10	290	79	-6	-0	-2	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2159	1906	432	86	12	46	210	564	26	36	10	227	312	357	669	130	296	26	10	303	87	-32	+3	-9	+8	+47	1.7
/ 162G	—	A+C		—	650	574	131	26	4	14	63	170	8	11	3	228	313	361	674	132	298	26	10	303	87	-10	+1	-3	+2	+14	0.5
Career	—	MLE		—	5736	5048	1119	200	31	126	562	1546	75	100	31	222	309	348	657	127	291	27	10	297	87	-79	+6	-20	+19	+113	3.9
/ 162G	—	MLE		—	650	572	127	23	4	14	64	175	8	11	4	222	309	350	659	128	292	27	10	297	87	-10	+1	-3	+2	+14	0.5

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 AStockton Ports · 347 PAwOBA .390 → .313 (−77)K% 24.8% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.78%	÷1.000	×1.360	—	—	33.71%
BB% (unintentional) /PA	12.39%	÷1.000	×0.690	—	—	8.55%
HBP% /PA	2.59%	—	×0.780	—	—	2.02%
Singles /BIP	30.73%	÷1.000	×0.920	×1.013	—	28.64%
Doubles /BIP	6.83%	÷1.000	×0.830	×1.013	—	5.74%
Triples /BIP	1.46%	÷1.000	×0.910	×1.013	—	1.35%
Home runs /BIP	4.88%	÷1.000	×0.800	—	—	3.90%

Factors used: level-wide A 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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .390 → .313; ISO .172 → .134; BABIP .402 → .364. 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).

2026 A+Lansing Lugnuts · 192 PAwOBA .315 → .258 (−56)K% 26.0% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.04%	÷1.000	×1.270	—	—	33.07%
BB% (unintentional) /PA	16.67%	÷1.000	×0.710	—	×1.012	11.98%
HBP% /PA	1.04%	—	×0.790	—	×1.012	0.83%
Singles /BIP	21.30%	÷1.000	×0.920	×1.046	×1.012	20.74%
Doubles /BIP	5.56%	÷1.000	×0.810	×1.046	×1.012	4.76%
Triples /BIP	1.85%	÷1.000	×0.850	×1.046	×1.012	1.67%
Home runs /BIP	2.78%	÷1.000	×0.800	—	×1.012	2.25%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .315 → .258; ISO .120 → .098; BABIP .295 → .278. 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
#1Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.6	2,369	52	39	222	305	350	+8	-10	4.0	3.7
/162	664	15	11	+2.4	-2.8	1.1	pk7: 3
#3Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#4Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#5Desi Relaford'96-'07 * career totals — 8 seasons, 3,347 PA	5.0	3,347	40	81	234*	308*	336*	+18	-13	0.2	1.3
/162	664	8	16	+3.7	-2.6	0.0	pk7: 2
#6Carlos Febles'98-'03 * career totals — 5 seasons, 1,892 PA	2.8	1,892	24	68	239*	316*	342*	+6	-4	0.5	0.5
/162	664	8	24	+2.2	-1.5	0.2	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
Daniel Bucciero (OGILVIE)	22	—	—	—	—	214/302/331	117	286	4	4	27%	10%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕José Caballero 2019 · A	22	47→45	43→45	47→70	45	231/292/348	117	278	10	9	21%	6%	81	-0.1	219/292/328	109	283	9	26	25%	8%	78	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Leo Jiménez 2023 · A	22	48→52	41→45	48→45	51	225/337/325	100	294	8	9	24%	9%	95	+1.0	235/325/347	112	296	10	7	23%	7%	95	+0.9	237/330/347	110	299	10	5	22%	7%	95	+0.5
✕Miguel Amaya 2022 · AA	23	44→43	44→50	50→40	51	216/311/333	117	280	11	7	25%	10%	86	+0.3	226/312/365	139	299	15	5	28%	9%	94	+0.9	230/302/374	144	273	16	1	22%	7%	92	+0.3
✕Jordan Beck 2023 · A	22	47→49	44→50	48→50	51	228/308/351	123	306	11	5	28%	10%	88	+0.4	224/289/372	148	311	16	15	31%	8%	86	+0.3	224/288/371	147	308	16	18	31%	8%	84	+0.2
✕Cayden Wallace 2024 · AA	22	45→49	44→50	53→50	45	220/280/345	125	285	10	13	26%	7%	76	-0.4	226/279/351	125	289	12	13	25%	6%	77	-0.3	232/281/372	140	285	16	15	24%	5%	80	-0.1
✕Canaan Smith-Njigba 2021 · A	22	50→51	44→45	50→55	47	239/306/363	124	325	11	10	28%	9%	90	+0.6	237/310/354	117	348	9	17	31%	10%	89	+0.5	237/311/358	121	351	9	21	32%	10%	87	+0.2
✕Damiano Palmegiani 2022 · A	22	48→42	43→50	50→40	45	229/300/343	114	314	11	7	29%	8%	84	+0.1	204/282/366	162	271	20	5	31%	8%	83	+0.1	192/273/350	158	256	20	4	32%	8%	74	-0.5
✕Zack Short 2018 · A	23	42→39	45→50	48→45	53	209/300/336	128	267	12	11	25%	10%	82	+0.0	201/292/339	138	285	13	8	31%	10%	80	-0.1	178/280/321	143	246	16	6	32%	11%	70	-0.6
●Graham Pauley 2023 · A	22	45→52	45→55	48→50	52	224/302/352	128	270	12	12	21%	9%	86	+0.3	233/300/393	160	281	18	11	23%	8%	95	+1.0	226/297/390	163	268	19	11	23%	8%	91	+0.5
✕Blaze Alexander 2021 · A	22	46→50	42→50	51→50	42	219/286/327	109	306	9	11	30%	7%	74	-0.5	211/283/339	128	327	14	12	37%	7%	77	-0.3	246/324/371	124	344	12	15	29%	8%	98	+0.8
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Nick Yorke 2024 · AA	22	48→57	46→50	50→55	43	236/293/366	130	314	14	13	29%	7%	86	+0.3	248/304/358	110	328	11	17	26%	7%	88	+0.4	250/308/351	102	325	10	18	25%	7%	85	+0.2
✕Steve Tolleson 2006 · A	22	42→52	44→45	50	51	208/290/327	119	246	12	8	20%	9%	77	-0.3	236/308/337	101	301	8	12	22%	9%	85	+0.2	256/314/373	117	303	10	12	18%	7%	92	+0.6
✕Angel Martínez 2023 · AA	21	46→50	45→50	48→50	47	228/296/358	131	289	11	11	25%	8%	86	+0.3	231/289/358	127	289	12	10	23%	7%	82	+0.0	236/284/389	154	280	16	12	22%	5%	89	+0.4
✕Ricardo Olivar 2024 · A	22	49→50	44→45	51→50	45	233/311/357	125	326	10	9	30%	8%	91	+0.7	224/296/352	128	290	14	9	26%	9%	84	+0.2	215/289/349	134	265	17	10	25%	9%	78	-0.2
✕Nick Goodwin 2024 · A	22	45→46	42→45	49→45	44	214/297/327	113	289	9	9	28%	7%	80	-0.2	190/264/304	114	260	12	7	30%	7%	61	-1.5	187/265/309	122	249	13	6	29%	8%	61	-1.0
✕Jeferson Morales 2022 · A	23	41→47	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	206/282/335	129	268	13	9	27%	7%	76	-0.4	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Agustín Ramírez 2024 · AA	22	44→48	48→55	48→55	47	226/286/366	140	275	16	10	24%	8%	84	+0.1	237/299/402	165	282	19	17	22%	7%	97	+1.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Yusniel Díaz 2019 · AA	22	50→54	44→45	42→50	48	245/306/365	120	311	11	10	24%	8%	91	+0.6	216/276/340	124	293	12	6	29%	7%	74	-0.6	203/270/314	111	271	13	9	29%	8%	64	-0.7

Daniel Bucciero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps