Omar Bustamante

C DSL Tigers 1

Age 21 R/R 6'0" / 178 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1735ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	ROKDSL Tigers 1	88	.145/.244/.197	0	1	-21	—	.089/.163/.127
2026	20	ROKDSL Tigers 1	168	.181/.370/.291	2	1	28	—	.118/.273/.184
2027PROJMLE	21	MLBDET	278	.203/.281/.285	2	4	62	0.0
2028PROJ34% MLB	22	MLBDET	46	.204/.282/.291	0	1	67	0.0
2029PROJ48% MLB	23	MLBDET	104	.207/.285/.301	1	2	70	0.0

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 2026 Rk

Chase%77

BB%55

K%53

Whiff%51

ISO47

Z-Con%41

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsJosé Alvarez (age 21) · Tomás Nido (age 21) · Rafael P Valera (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 87 proj PA

wRC+†62

AVG/OBP/SLG.201 / .279 / .282

PA87

HR1

K%28

BB%8

ISO82

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 47 / POW 36

Toolsscout grade

CONTACT47

scouting grade only

POWER36

scouting grade only

EYE60

scouting grade only

SPEED49

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	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$3M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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	19	ROK	DSL Tigers 1	—	88	76	11	2	1	0	9	20	1	1	1	145	244	197	442	53	193	23	10	210	-21	—	—	—	—	—	—
2026	20	ROK	DSL Tigers 1	—	168	127	23	6	1	2	27	35	11	1	2	181	370	291	661	110	228	21	16	316	28	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	ROK MLE	DSL Tigers 1	—	88	79	7	1	1	0	6	25	1	1	1	89	163	127	289	38	126	28	7	137	-21	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 1	—	168	136	16	4	1	1	18	43	11	1	2	118	273	184	457	66	145	26	11	210	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	88	79	7	1	1	0	6	25	1	1	1	89	163	127	289	38	127	28	7	137	-21	—	—	—	—	—	—
2025	19	ROK RAW	DSL Tigers 1	—	88	76	11	2	1	0	9	20	1	1	1	145	244	197	442	53	193	23	10	210	-21	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 1	—	168	136	16	4	1	1	18	43	11	1	2	118	273	184	457	66	160	26	11	210	28	—	—	—	—	—	—
2026	20	ROK RAW	DSL Tigers 1	—	168	127	23	6	1	2	27	35	11	1	2	181	370	291	661	110	228	21	16	316	28	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	88	81	7	1	1	0	6	25	1	1	1	86	163	123	286	37	126	28	7	137	-21	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 1	—	168	137	16	4	1	1	18	43	11	1	2	117	273	182	455	66	145	26	11	210	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	ROK MLE	DSL Tigers 1	—	88	81	7	1	1	0	6	25	1	1	1	86	163	123	286	37	126	28	7	137	-21	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 1	—	168	137	16	4	1	1	18	43	11	1	2	117	273	182	455	66	145	26	11	210	28	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	DET	0%	278	249	50	9	2	2	22	77	5	4	1	203	281	285	565	82	281	28	8	260	62	-12	+0	+0	+5	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	DET	34%	134	120	24	4	1	1	11	37	2	2	1	207	285	297	582	90	283	28	8	267	67	-5	+0	+0	+2	+3	-0.0
2029	23	MLB MLE	DET	48%	215	192	41	7	2	3	17	58	4	4	1	210	288	308	596	97	284	27	8	272	70	-8	+0	+0	+4	+5	0.1
2030	24	MLB MLE	DET	53%	298	267	56	10	2	4	24	80	5	5	2	214	291	316	607	103	286	27	8	277	73	-9	+0	+0	+5	+6	0.3
2031	25	MLB MLE	DET	55%	356	318	68	12	3	5	29	95	6	6	2	216	293	323	616	107	286	27	8	280	76	-10	+0	+0	+6	+8	0.4
2032	26	MLB MLE	DET	56%	387	346	75	14	3	6	32	102	6	7	3	217	294	328	623	111	286	26	8	283	77	-10	+0	+0	+7	+8	0.5
2033	27	MLB MLE	DET	55%	401	359	77	14	3	6	33	106	6	7	3	216	293	326	619	109	285	26	8	281	76	-11	+0	+0	+7	+9	0.5
2034	28	MLB MLE	DET	55%	404	362	77	14	3	6	33	108	6	7	3	214	291	321	612	107	284	27	8	278	74	-12	+0	-1	+7	+9	0.3
2035	29	MLB MLE	DET	53%	398	357	76	14	3	6	32	107	6	6	3	212	288	314	603	103	283	27	8	275	72	-13	+0	-1	+7	+9	0.1
2036	30	MLB MLE	DET	53%	388	348	73	13	3	5	31	106	6	5	4	209	285	307	591	98	281	27	8	270	69	-14	-1	-2	+7	+8	-0.2
2028	22	MLB CTX	DET	34%	46	41	7	1	0	0	4	13	1	1	0	204	282	291	573	88	279	28	9	263	67	-2	+0	+0	+1	+1	0.0
2029	23	MLB CTX	DET	48%	104	93	19	3	1	1	8	28	2	2	1	207	285	301	586	94	280	27	8	268	70	-4	+0	+0	+2	+2	0.0
2030	24	MLB CTX	DET	53%	157	140	29	5	1	2	13	42	3	3	1	210	288	310	598	100	281	27	8	273	73	-5	+0	+0	+3	+3	0.1
2031	25	MLB CTX	DET	55%	195	174	38	7	2	3	16	52	3	3	1	212	290	316	606	104	282	27	8	276	76	-6	+0	+0	+3	+4	0.2
2032	26	MLB CTX	DET	56%	215	192	41	7	2	3	18	57	3	4	2	214	291	321	612	108	282	27	8	278	77	-6	+0	+0	+4	+5	0.3
2033	27	MLB CTX	DET	55%	221	198	42	8	2	3	18	59	3	4	2	212	290	319	609	106	281	27	8	277	76	-6	+0	+0	+4	+5	0.3
2034	28	MLB CTX	DET	55%	221	198	41	7	2	3	18	59	3	4	2	211	288	314	602	103	280	27	8	274	74	-7	+0	-0	+4	+5	0.2
2035	29	MLB CTX	DET	53%	212	190	39	7	1	3	17	57	3	3	2	208	285	308	593	100	278	27	8	271	72	-7	-0	-1	+4	+5	0.0
2036	30	MLB CTX	DET	53%	204	183	38	7	1	3	16	56	3	3	2	205	282	300	582	95	276	27	8	266	69	-8	-0	-1	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1575	1409	294	52	12	21	128	423	24	27	13	209	286	307	593	99	281	27	8	273	68	-50	+0	-2	+28	+34	1.1
/ 162G	—	A+C		—	650	581	121	21	5	9	53	175	10	11	5	208	285	308	593	100	280	27	8	273	68	-20	+0	-1	+12	+14	0.5
Career	—	MLE		—	3324	2962	607	110	26	44	273	891	61	52	25	205	285	304	590	99	275	27	8	269	68	-98	+1	-4	+55	+66	2.0
/ 162G	—	MLE		—	650	579	119	22	5	9	53	174	12	10	5	206	286	307	593	102	275	27	8	269	68	-21	+0	-1	+12	+14	0.4

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 Tigers 1 · 168 PAwOBA .313 → .210 (−103)K% 20.8% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.83%	÷1.000	×1.220	—	—	25.42%
BB% (unintentional) /PA	16.07%	÷1.000	×0.700	—	×0.975	10.97%
HBP% /PA	6.55%	—	×0.700	—	×0.975	4.47%
Singles /BIP	15.22%	÷1.000	×0.680	×1.009	×0.975	10.18%
Doubles /BIP	6.52%	÷1.000	×0.600	×1.009	×0.975	3.85%
Triples /BIP	1.09%	÷1.000	×0.600	×1.009	×0.975	0.64%
Home runs /BIP	2.17%	÷1.000	×0.470	—	×0.975	1.00%

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 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .313 → .210; ISO .110 → .064; BABIP .228 → .145. 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 Tigers 1 · 88 PAwOBA .207 → .137 (−70)K% 22.7% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷0.987	×1.220	—	—	28.10%
BB% (unintentional) /PA	10.23%	÷1.026	×0.700	—	×0.985	6.88%
HBP% /PA	1.14%	—	×0.700	—	×0.985	0.78%
Singles /BIP	14.29%	÷1.045	×0.680	×1.050	×0.985	9.61%
Doubles /BIP	3.57%	÷0.999	×0.600	×1.050	×0.985	2.22%
Triples /BIP	1.79%	÷1.102	×0.600	×1.050	×0.985	1.01%
Home runs /BIP	0.00%	÷3.212	×0.470	—	×0.985	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 542, 1B 109, 2B 100, 3B 120, K 97, BB 105 — 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 ×1.050.

Result: wOBA .207 → .137; ISO .053 → .031; BABIP .193 → .126. 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.5	1,662	24	27	214	288	318	+30	+24	2.4	2.3
/162	664	10	11	+11.9	+9.6	0.9	pk7: 2
#4Mike 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
#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
Omar Bustamante (OGILVIE)	21	42→47	31→36	44→49	60	201/279/282	81	281	1	1	28%	8%	62	-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
✕Tomás Nido 2015 · A	21	44→45	39→45	49→30	43	213/268/301	88	286	6	7	27%	6%	61	-1.5	234/265/337	103	307	9	2	26%	4%	68	-1.0	244/279/354	110	291	9	0	19%	4%	75	-0.3
✕Rafael P Valera 2016 · A	21	47	34→30	47→55	49	217/292/275	57	291	1	10	24%	8%	65	-1.2	209/275/290	81	313	3	5	31%	7%	61	-1.5	185/256/275	90	288	2	1	33%	7%	48	-0.6
✕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
✕Christian Cairo 2021 · A	20	39→49	35→40	48→60	44	184/266/243	59	279	2	9	32%	8%	49	-2.4	191/294/274	83	293	6	15	33%	11%	68	-1.0	219/314/286	67	298	3	31	25%	10%	75	-0.4
✕Arquímedes Gamboa 2019 · A	21	43→44	37→40	48→50	45	203/266/276	74	281	5	7	28%	8%	55	-1.9	190/267/267	77	281	5	14	31%	9%	54	-2.0	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕Jose Cordova 2021 · A	21	45	36→40	50	43	214/272/279	65	268	3	13	21%	5%	58	-1.7	209/262/276	67	302	3	9	30%	5%	53	-2.1	237/299/326	89	314	5	11	24%	7%	75	-0.2
✕Onil Perez 2023 · A	20	43	36→40	46→55	49	200/268/272	73	258	3	7	22%	8%	55	-1.9	220/284/292	72	276	3	17	20%	7%	65	-1.2	222/294/289	67	273	3	21	18%	8%	67	-0.6
✕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
✕Emerson Landoni 2010 · A	21	46→56	37→40	45	46	218/283/290	73	282	5	7	24%	7%	65	-1.2	231/275/306	75	294	5	8	22%	5%	64	-1.3	259/302/329	70	307	3	4	16%	5%	76	-0.3
✕Abel Nieves 2007 · A	21	44	35→40	47→45	46	206/264/268	62	267	2	6	23%	7%	52	-2.2	228/295/306	78	316	4	5	26%	9%	72	-0.7	238/312/319	81	333	4	4	27%	10%	78	-0.1
✕Jio Mier 2012 · A	21	42→44	39→40	46→50	45	201/269/283	82	277	6	9	28%	8%	58	-1.7	201/266/277	76	275	6	9	27%	8%	55	-1.9	196/252/279	82	253	6	7	24%	6%	48	-1.3
✕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
✕Kevin Moesquit 2012 · A	21	43→45	37→40	49→50	49	202/277/280	77	269	3	11	24%	8%	60	-1.6	209/269/263	54	272	2	10	22%	6%	53	-2.1	207/265/244	37	266	1	11	21%	6%	45	-1.5
✕Daurys Mercedes 2011 · A	21	41	35→40	46→45	49	189/272/251	63	268	2	8	28%	9%	53	-2.1	172/238/233	61	308	3	7	41%	7%	35	-3.4	128/189/177	49	254	2	5	47%	6%	2	-1.7
✕Pablo Olivares 2018 · A	20	44	36→40	49→50	43	207/279/278	72	283	3	10	26%	6%	61	-1.5	227/298/305	78	294	6	13	23%	6%	74	-0.5	220/297/294	73	283	5	14	22%	7%	68	-0.5
✕Cutter Dykstra 2010 · A	21	41→51	40	47→55	43	199/261/283	85	276	8	11	30%	7%	55	-1.9	223/280/299	76	311	6	16	28%	7%	65	-1.2	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Luke Williams 2017 · A	20	46→44	36→45	50→65	47	216/284/281	65	293	3	11	26%	8%	63	-1.4	196/247/266	70	262	5	17	26%	6%	45	-2.7	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Jair Fernandez 2008 · A	21	44	39→40	49→30	45	210/271/297	86	271	6	6	24%	7%	61	-1.5	220/275/309	89	284	6	4	23%	6%	65	-1.2	209/278/304	95	270	8	1	24%	7%	63	-0.5

Omar Bustamante

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps