Yasmil Bucce

C Frederick Keys

Age 22 L/R 5'10" / 168 lbs A+ HR +9% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP40OGV rank#309ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKBAL	94	.185/.424/.262	1	1	55	—	.151/.326/.219
2025	20	A+/A2 orgs	394	.241/.390/.378	8	2	77	—	.204/.314/.319
2026	21	A+/INTL2 orgs	256	.232/.391/.473	13	2	88	—	.176/.290/.347
2027PROJMLE	22	MLBBAL	1	.193/.302/.340	0	0	81	0.0
2028PROJ43% MLB	23	MLBBAL	72	.198/.306/.350	2	1	85	0.2
2029PROJ58% MLB	24	MLBBAL	143	.203/.309/.358	4	2	87	0.4

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

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$2M+2

Skills · percentileMiLB Statcast 2026 A+

BB%94

Chase%85

ISO84

wOBA80

wRC+80

Z-Con%44

Career WAR0.0 WAR median (P10 -0.1 / P90 13, comp-based) · star 3% · didn't stick 78%

CompsZack Collins (age 23) · Daniel Vellojin (age 23) · Darrien Miller (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†81

AVG/OBP/SLG.193 / .302 / .340

PA1

HR0

K%35

BB%12

BABIP285

ISO144

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · ContractCON 40 / POW 40

Toolsscout grade

CONTACT40

scouting grade only

POWER40

scouting grade only

EYE60

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Arb-1	$2M	+0.4	$0.9M	+$0.2M
2035	Arb-2	$2M	+0.3	$0.7M	+$0.0M (cut)
2036	Arb-3	$0.6M	—	—	—
Totals		$4M		$7M	+$4M

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)
2021	16	ROK	DSL Orioles 2	—	86	72	17	2	1	0	11	17	3	0	0	236	360	292	652	56	309	20	13	311	33	—	—	—	—	—	—
2022	17	ROK	DSL BAL Black	—	117	100	23	5	0	2	15	21	1	1	0	230	336	340	676	110	269	18	13	310	20	—	—	—	—	—	—
2023	18	ROK	FCL Orioles	—	74	63	19	4	1	1	10	20	1	0	0	302	405	444	850	143	429	27	14	383	54	—	—	—	—	—	—
2024	19	ROK	FCL Orioles	—	94	65	12	2	0	1	23	21	4	1	0	185	424	262	685	77	244	22	24	338	55	—	—	—	—	—	—
2025	20	A+	Aberdeen IronBirds	—	55	44	7	0	0	0	9	20	1	0	0	159	315	159	474		280	36	16	243	9	—	—	—	—	—	—
2025	20	A	Delmarva Shorebirds	—	339	271	69	13	3	8	62	82	5	2	1	255	402	413	816	159	335	24	18	371	88	—	—	—	—	—	—
2026	21	A+	Frederick Keys	—	224	175	40	8	0	11	45	71	4	2	1	229	397	463	860	234	312	32	20	386	80	—	—	—	—	—	—
2026	21	INTL	Aguilas del Zulia	—	32	28	7	2	0	2	4	9	0	0	0	250	344	536	879	286	294	28	12	382	145	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	16	ROK MLE	DSL Orioles 2	—	86	75	12	1	1	0	8	21	3	0	0	160	267	200	467	40	221	24	9	217	33	—	—	—	—	—	—
2022	17	ROK MLE	DSL BAL Black	—	117	105	14	3	0	1	10	26	1	1	0	133	216	190	406	57	170	22	9	198	20	—	—	—	—	—	—
2023	18	ROK MLE	FCL Orioles	—	74	67	14	3	1	1	6	30	1	0	0	209	284	328	612	119	337	41	8	248	54	—	—	—	—	—	—
2024	19	ROK MLE	FCL Orioles	—	94	73	11	2	0	1	15	29	4	1	0	151	326	219	545	68	199	31	16	250	55	—	—	—	—	—	—
2025	20	A+ MLE	Aberdeen IronBirds	—	55	47	6	0	0	0	6	26	1	0	0	128	241	128	368		252	47	11	182	9	—	—	—	—	—	—
2025	20	A MLE	Delmarva Shorebirds	—	339	291	63	12	3	7	42	112	5	2	1	216	325	351	676	134	317	33	12	299	88	—	—	—	—	—	—
2026	21	A+ MLE	Frederick Keys	—	224	193	34	6	0	9	27	93	4	2	1	176	290	347	637	171	274	42	12	287	80	—	—	—	—	—	—
2021	16	ROK MLE	DSL Orioles 2	—	86	75	12	1	1	0	8	21	3	0	0	160	267	200	467	40	222	24	9	217	33	—	—	—	—	—	—
2021	16	ROK RAW	DSL Orioles 2	—	86	72	17	2	1	0	11	17	3	0	0	236	360	292	652	56	309	20	13	311	33	—	—	—	—	—	—
2022	17	ROK MLE	DSL BAL Black	—	117	105	14	3	0	1	10	26	1	1	0	133	216	190	406	57	165	22	9	198	20	—	—	—	—	—	—
2022	17	ROK RAW	DSL BAL Black	—	117	100	23	5	0	2	15	21	1	1	0	230	336	340	676	110	269	18	13	310	20	—	—	—	—	—	—
2023	18	ROK MLE	FCL Orioles	—	74	67	14	3	1	1	6	30	1	0	0	209	284	328	612	119	361	41	8	248	54	—	—	—	—	—	—
2023	18	ROK RAW	FCL Orioles	—	74	63	19	4	1	1	10	20	1	0	0	302	405	444	850	143	429	27	14	383	54	—	—	—	—	—	—
2024	19	ROK MLE	FCL Orioles	—	94	73	11	2	0	1	15	29	4	1	0	151	326	219	545	68	222	31	16	250	55	—	—	—	—	—	—
2024	19	ROK RAW	FCL Orioles	—	94	65	12	2	0	1	23	21	4	1	0	185	424	262	685	77	244	22	24	338	55	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	394	338	68	12	3	7	48	138	6	2	1	201	311	317	628	115	313	35	12	283	77	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	394	315	76	13	3	8	71	102	6	2	1	241	390	378	768	137	329	26	18	353	77	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	256	221	39	7	0	11	31	106	4	2	1	176	289	357	647	181	269	41	12	287	80	—	—	—	—	—	—
2026	21	A+ RAW	2 teams	—	256	203	47	10	0	13	49	80	4	2	1	232	391	473	864	241	309	31	19	386	80	—	—	—	—	—	—
2021	16	ROK MLE	DSL Orioles 2	—	86	75	12	1	1	0	8	21	3	0	0	160	267	200	467	40	221	24	9	217	33	—	—	—	—	—	—
2022	17	ROK MLE	DSL BAL Black	—	117	105	14	3	0	1	10	26	1	1	0	133	216	190	406	57	170	22	9	198	20	—	—	—	—	—	—
2023	18	ROK MLE	FCL Orioles	—	74	67	14	3	1	1	6	30	1	0	0	209	284	328	612	119	337	41	8	248	54	—	—	—	—	—	—
2024	19	ROK MLE	FCL Orioles	—	94	75	11	2	0	1	15	29	4	1	0	147	326	213	539	67	199	31	16	250	55	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	394	337	68	12	3	7	48	138	6	2	1	202	311	318	629	116	308	35	12	283	77	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	256	219	39	7	0	11	31	106	4	2	1	178	289	361	650	183	274	41	12	287	80	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Orioles	—	94	75	11	2	0	1	15	29	4	1	0	147	326	213	539	67	199	31	16	250	55	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	394	337	68	12	3	7	48	138	6	2	1	202	311	318	629	116	308	35	12	283	77	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	256	219	39	7	0	11	31	106	4	2	1	178	289	361	650	183	274	41	12	287	80	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	BAL	0%	334	287	54	10	1	9	40	119	4	3	1	189	299	331	630	141	280	36	12	288	81	-8	+0	+0	+6	+7	0.3
▸ 2027 — real world (MLB)
2027	22	MLB CTX	BAL	0%	1	1	0	0	0	0	0	0	0	0	0	193	302	340	642	146	285	0	0	293	81	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	BAL	43%	167	143	28	5	1	5	20	58	2	2	1	195	303	341	644	147	282	35	12	293	85	-3	+0	+0	+3	+4	0.4
2029	24	MLB MLE	BAL	58%	247	213	42	8	1	7	29	84	3	3	1	199	306	349	655	150	283	34	12	297	87	-4	+0	+0	+4	+5	0.6
2030	25	MLB MLE	BAL	65%	309	266	53	10	1	9	36	103	4	4	1	202	307	354	661	152	284	33	12	300	89	-4	+0	+0	+6	+7	0.9
2031	26	MLB MLE	BAL	68%	350	302	61	11	1	11	41	115	4	4	1	204	308	356	664	152	284	33	12	301	90	-4	+0	+0	+6	+8	1.0
2032	27	MLB MLE	BAL	68%	365	316	64	12	1	11	42	118	4	4	2	205	307	356	664	151	284	32	12	300	90	-5	+0	+0	+7	+8	1.0
2033	28	MLB MLE	BAL	68%	370	320	65	12	1	11	43	121	4	4	2	203	305	351	657	148	282	33	12	298	88	-5	+0	-1	+7	+8	0.9
2034	29	MLB MLE	BAL	66%	365	316	63	12	1	10	42	120	4	3	2	200	302	345	647	144	281	33	12	294	85	-6	-0	-1	+7	+8	0.6
2035	30	MLB MLE	BAL	66%	357	309	61	11	1	10	41	119	4	2	2	197	299	337	635	139	278	33	11	289	82	-8	-0	-2	+6	+8	0.4
2036	31	MLB MLE	BAL	65%	325	281	55	10	1	9	37	109	4	1	6	193	294	326	620	133	274	34	11	283	78	-9	-2	-3	+6	+7	-0.1
2028	23	MLB CTX	BAL	43%	72	62	12	2	0	2	9	25	1	1	0	198	306	350	657	152	286	35	12	298	85	-1	+0	+0	+1	+2	0.2
2029	24	MLB CTX	BAL	58%	143	123	25	5	1	4	17	49	2	2	1	203	309	358	667	156	288	34	12	302	87	-2	+0	+0	+3	+3	0.4
2030	25	MLB CTX	BAL	65%	200	171	35	6	1	6	24	67	3	2	1	206	310	364	674	158	288	34	12	305	89	-3	+0	+0	+4	+4	0.5
2031	26	MLB CTX	BAL	68%	238	205	43	8	1	8	28	78	3	3	1	208	311	366	677	158	288	33	12	306	90	-3	+0	+0	+4	+5	0.7
2032	27	MLB CTX	BAL	68%	248	214	45	8	1	8	29	80	3	3	1	209	311	366	677	157	288	32	12	305	90	-3	+0	+0	+4	+5	0.7
2033	28	MLB CTX	BAL	68%	252	218	45	8	1	8	29	82	3	2	1	207	309	361	670	154	287	33	12	303	88	-4	+0	-0	+4	+5	0.6
2034	29	MLB CTX	BAL	66%	243	210	43	8	1	7	28	80	3	2	1	204	306	354	660	150	285	33	12	299	85	-4	+0	-1	+4	+5	0.4
2035	30	MLB CTX	BAL	66%	234	202	41	7	1	7	27	78	3	2	1	201	302	346	648	145	283	33	12	294	82	-5	+0	-1	+4	+5	0.3
2036	31	MLB CTX	BAL	65%	211	183	37	7	1	6	24	71	2	1	4	197	297	335	632	139	279	34	11	288	78	-6	-1	-2	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1841	1588	326	59	8	56	215	610	23	18	11	205	309	358	667	153	290	33	12	300	80	-31	-1	-5	+33	+40	3.7
/ 162G	—	A+C		—	650	561	116	21	3	20	76	215	8	6	4	207	310	362	672	155	292	33	12	300	80	-11	-0	-2	+12	+14	1.3
Career	—	MLE		—	4006	3456	671	123	14	108	465	1343	54	34	20	194	299	332	631	137	278	34	12	287	80	-51	-2	-7	+53	+65	6.0
/ 162G	—	MLE		—	650	561	109	20	2	18	75	218	9	6	3	194	299	333	633	139	277	34	12	287	80	-11	-0	-2	+12	+14	1.3

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 A+Frederick Keys · 224 PAwOBA .377 → .287 (−90)K% 31.7% → 41.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.70%	÷1.000	×1.310	—	—	41.52%
BB% (unintentional) /PA	20.09%	÷1.000	×0.600	—	×1.012	12.20%
HBP% /PA	1.79%	—	×0.770	—	×1.012	1.39%
Singles /BIP	20.19%	÷1.000	×0.870	×1.040	×1.012	18.49%
Doubles /BIP	7.69%	÷1.000	×0.780	×1.040	×1.012	6.31%
Triples /BIP	0.00%	÷1.000	×0.850	×1.040	×1.012	0.00%
Home runs /BIP	10.58%	÷1.000	×0.880	—	×1.012	9.42%

Factors used: league row South Atlantic 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 ×1.040.

Result: wOBA .377 → .287; ISO .234 → .199; BABIP .312 → .274. 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 ADelmarva Shorebirds · 339 PAwOBA .363 → .299 (−63)K% 24.2% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.19%	÷0.993	×1.360	—	—	33.13%
BB% (unintentional) /PA	17.99%	÷1.007	×0.690	—	×1.015	12.52%
HBP% /PA	1.47%	—	×0.780	—	×1.015	1.17%
Singles /BIP	23.81%	÷0.998	×0.920	×1.009	×1.015	22.48%
Doubles /BIP	6.88%	÷0.898	×0.830	×1.009	×1.015	6.51%
Triples /BIP	1.59%	÷0.904	×0.910	×1.009	×1.015	1.64%
Home runs /BIP	4.23%	÷0.899	×0.800	—	×1.015	3.82%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 100, 2B 80, 3B 81, K 99, BB 101 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .363 → .299; ISO .159 → .141; BABIP .335 → .317. 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 A+Aberdeen IronBirds · 55 PAwOBA .242 → .182 (−60)K% 36.4% → 47.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.36%	÷1.013	×1.310	—	—	47.04%
BB% (unintentional) /PA	16.36%	÷0.944	×0.600	—	×1.027	10.68%
HBP% /PA	1.82%	—	×0.770	—	×1.027	1.44%
Singles /BIP	29.17%	÷0.990	×0.870	—	×1.027	26.31%
Doubles /BIP	0.00%	÷1.010	×0.780	—	×1.027	0.00%
Triples /BIP	0.00%	÷1.091	×0.850	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.229	×0.880	—	×1.027	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 146, 1B 98, 2B 102, 3B 118, K 103, BB 89 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .242 → .182; ISO .000 → .000; BABIP .280 → .252. 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 ROKFCL Orioles · 94 PAwOBA .339 → .250 (−89)K% 22.3% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.34%	÷1.036	×1.440	—	—	31.04%
BB% (unintentional) /PA	24.47%	÷0.972	×0.620	—	×0.995	15.53%
HBP% /PA	4.26%	—	×0.720	—	×0.995	3.05%
Singles /BIP	20.45%	÷0.996	×0.820	×1.003	×0.995	16.80%
Doubles /BIP	4.55%	÷0.901	×0.720	×1.003	×0.995	3.63%
Triples /BIP	0.00%	÷1.016	×0.720	×1.003	×0.995	0.00%
Home runs /BIP	2.27%	÷0.995	×0.780	—	×0.995	1.77%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 80, 3B 103, K 107, BB 94 — 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 ×1.003.

Result: wOBA .339 → .250; ISO .077 → .065; BABIP .244 → .199. 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 ROKFCL Orioles · 74 PAwOBA .373 → .248 (−125)K% 27.0% → 40.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.03%	÷0.972	×1.440	—	—	40.04%
BB% (unintentional) /PA	13.51%	÷1.056	×0.620	—	×1.008	7.99%
HBP% /PA	1.35%	—	×0.720	—	×1.008	0.98%
Singles /BIP	30.23%	÷1.025	×0.820	—	×1.008	24.37%
Doubles /BIP	9.30%	÷0.960	×0.720	—	×1.008	7.03%
Triples /BIP	2.33%	÷0.989	×0.720	—	×1.008	1.71%
Home runs /BIP	2.33%	÷1.027	×0.780	—	×1.008	1.78%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 105, 2B 92, 3B 98, K 94, BB 111 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .373 → .248; ISO .143 → .094; BABIP .429 → .337. 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).

2022 DSLDSL BAL Black · 117 PAwOBA .305 → .198 (−107)K% 17.9% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.95%	÷0.968	×1.220	—	—	22.62%
BB% (unintentional) /PA	12.82%	÷1.032	×0.700	—	×1.008	8.76%
HBP% /PA	0.85%	—	×0.700	—	×1.008	0.60%
Singles /BIP	20.25%	÷1.030	×0.680	×0.950	×1.008	12.80%
Doubles /BIP	6.33%	÷0.867	×0.600	×0.950	×1.008	4.19%
Triples /BIP	0.00%	÷0.966	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	2.53%	÷0.834	×0.470	—	×1.008	1.44%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 106, 2B 73, 3B 93, K 94, BB 106 — 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 .305 → .198; ISO .110 → .068; BABIP .269 → .170. 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).

2021 DSLDSL Orioles 2 · 86 PAwOBA .304 → .217 (−87)K% 19.8% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.77%	÷1.000	×1.220	—	—	24.12%
BB% (unintentional) /PA	12.79%	÷1.000	×0.700	—	×1.022	9.15%
HBP% /PA	3.49%	—	×0.700	—	×1.022	2.50%
Singles /BIP	25.45%	÷1.000	×0.680	×1.050	×1.022	18.58%
Doubles /BIP	3.64%	÷1.000	×0.600	×1.050	×1.022	2.34%
Triples /BIP	1.82%	÷1.000	×0.600	×1.050	×1.022	1.17%
Home runs /BIP	0.00%	÷1.000	×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): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .304 → .217; ISO .056 → .036; BABIP .309 → .221. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob 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
#2Jason LaRue'99-'10 * career totals — 12 seasons, 3,103 PA	4.7	3,103	96	14	223*	304*	385*	+54	+0	9.6	9.7
/162	664	21	3	+11.5	+0.1	2.1	pk7: 10
#3Curt 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
#4Sandy 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
#5Charlie O'Brien'85-'00 * career totals — 12 seasons, 2,560 PA	3.9	2,560	56	1	214*	295*	358*	+46	+0	5.0	5.6
/162	664	15	0	+11.9	+0.0	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.8	1,842	54	17	201	301	348	+33	+24	5.3	5.1
/162	664	19	6	+11.9	+8.6	1.9	pk7: 5
#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
Yasmil Bucce (OGILVIE)	22	40	40	40	60	188/297/328	140	280	4	1	36%	12%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zack Collins 2018 · AA	23	37→42	48→50	41→40	47	185/278/325	140	290	16	2	39%	11%	72	-0.7	204/302/356	152	310	17	3	36%	12%	88	+0.4	199/306/353	154	293	17	2	34%	13%	89	+0.4
✕Daniel Vellojin 2023 · AA	23	40	45	42→45	52	200/295/324	124	280	13	6	32%	12%	78	-0.3	181/261/276	95	256	9	6	31%	9%	54	-2.0	150/230/223	73	210	7	4	31%	8%	29	-1.4
✕Darrien Miller 2023 · A	22	40→42	47→45	50→45	49	202/313/334	132	268	16	7	29%	10%	88	+0.5	192/300/291	99	262	9	5	28%	10%	74	-0.5	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Isan Díaz 2018 · A	22	40→43	47→55	45	43	202/273/336	134	296	14	8	35%	8%	72	-0.7	214/284/363	149	300	16	8	32%	8%	82	+0.0	212/290/379	167	275	21	5	30%	9%	86	+0.2
✕George Valera 2023 · AAA	22	44→43	52→50	44→45	49	222/309/386	165	300	20	6	31%	10%	97	+1.1	215/293/359	144	302	17	6	32%	10%	85	+0.2	222/290/363	141	290	16	5	28%	8%	82	+0.0
✕Jace Jung 2024 · AA	23	43→44	52→50	48→40	48	220/300/383	163	290	20	5	30%	9%	93	+0.8	216/304/368	152	282	17	4	28%	11%	91	+0.7	205/299/350	146	260	16	3	27%	11%	84	+0.1
✕Trevor Hauver 2023 · AA	24	39→49	49→50	46→40	52	197/302/348	151	285	17	3	34%	12%	86	+0.3	215/302/354	139	314	14	3	33%	10%	87	+0.4	220/306/357	138	316	13	2	32%	10%	87	+0.3
✕Colson Montgomery 2024 · AA	22	49→48	45→55	41→45	50	235/328/366	131	311	12	3	26%	10%	100	+1.3	202/284/363	161	279	20	5	33%	8%	83	+0.1	189/270/365	176	256	24	4	35%	8%	78	-0.3
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	273	17	4	28%	9%	84	+0.1	202/278/337	135	292	15	4	33%	9%	74	-0.5	170/260/301	131	253	15	0	37%	11%	58	-1.2
✕Jose Lobatón 2007 · A	22	44	42→45	42→30	47	211/290/320	109	300	10	4	31%	9%	75	-0.5	219/283/344	125	297	13	3	29%	8%	77	-0.3	234/317/366	131	296	12	0	23%	10%	95	+0.4
✕John Whittleman 2009 · AA	22	44→45	44→50	39→45	50	213/294/332	119	292	10	3	29%	10%	79	-0.2	196/278/320	124	265	12	3	29%	10%	70	-0.8	172/259/320	148	230	18	1	32%	11%	63	-1.0
✕Johnny Monell 2008 · A	22	43	43→50	44→45	47	212/287/326	114	278	11	8	27%	8%	75	-0.5	230/291/359	129	287	12	8	23%	7%	84	+0.1	225/286/348	123	283	13	8	24%	7%	78	-0.2
✕Nathan Hickey 2023 · A	23	43→40	54→50	43→40	51	219/317/402	183	298	22	3	32%	12%	104	+1.6	202/283/351	149	288	17	4	34%	10%	80	-0.2	186/266/323	137	264	16	3	34%	9%	65	-1.0
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	215/294/352	137	286	15	4	29%	9%	84	+0.1	204/288/337	133	276	16	3	30%	10%	78	-0.3	186/275/307	121	251	15	0	30%	10%	65	-0.7
✕Travis Scott 2008 · A	23	44	50→55	43→40	44	227/287/376	149	291	18	3	28%	7%	86	+0.3	223/277/378	155	288	18	5	28%	7%	83	+0.1	216/269/375	159	274	18	3	27%	6%	79	-0.1
✕Ashton McGee 2022 · A	23	48	45	46→40	45	214/302/340	125	354	12	4	39%	10%	84	+0.1	200/280/306	106	365	10	5	43%	9%	68	-1.0	156/242/238	82	304	8	3	47%	10%	36	-1.5
✕Carlos Soto 2022 · A	23	40	45	45→30	48	200/279/322	122	273	12	3	30%	9%	72	-0.7	197/273/311	114	289	10	5	33%	9%	66	-1.1	146/235/244	98	221	7	0	35%	10%	37	-1.0
✕Eddys Leonard 2023 · A	22	45→47	48→50	45→50	42	226/295/372	146	296	15	5	28%	6%	89	+0.5	222/280/363	141	284	16	8	27%	6%	81	-0.1	215/271/359	144	269	17	9	26%	5%	74	-0.4
✕Mike Boeve 2024 · A	22	50→53	48→40	49→45	45	245/306/384	139	326	15	7	29%	8%	95	+1.0	258/322/359	101	337	8	8	24%	8%	95	+0.9	257/324/350	93	335	8	9	24%	8%	91	+0.4
✕Jimmy Crooks 2024 · A	23	47	44→50	46→40	43	227/290/349	123	306	11	4	29%	7%	81	-0.1	240/306/372	132	335	14	4	30%	7%	92	+0.7	240/311/381	141	337	17	2	32%	8%	94	+0.6

Yasmil Bucce

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps