Bryant Betancourt

C Hartford Yard Goats

Age 23 L/R 5'10" / 202 lbs AA HR +30%H +12% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

OGV OFP40OGV rank#267ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	A+COL	433	.238/.319/.376	12	15	50	—	.196/.255/.298
2025	21	AACOL	344	.234/.318/.363	10	3	64	—	.215/.282/.302
2026	22	AAA/AA/INTL2 orgs	445	.273/.339/.480	17	4	92	—	.243/.292/.408
2027PROJMLE	23	MLBCOL	4	.243/.297/.396	0	0	84	0.0
2028PROJ28% MLB	24	MLBCOL	113	.246/.302/.404	4	1	87	0.3
2029PROJ44% MLB	25	MLBCOL	190	.247/.304/.408	6	2	89	0.6

Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$3M+1

Skills · percentileMiLB Statcast 2026 AAA

Whiff%93

K%91

Z-Con%84

Speed50

Chase%27

BB%25

Career WAR0.0 WAR median (P10 -0.7 / P90 14, comp-based) · star 2% · didn't stick 74%

CompsBlake DeWitt (age 23) · Hank Conger (age 23) · Taylor Lindsey (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†84

AVG/OBP/SLG.243 / .297 / .396

PA4

HR0

K%25

BB%7

BABIP274

ISO140

MLB%2%

Value2027 · WAR

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

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Arb-1	$2M	+0.6	$2M	+$0.2M
2034	Arb-2	$3M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$5M		$9M	+$5M

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	17	ROK	DSL Colorado	—	131	107	28	5	2	1	17	12	1	1	2	262	368	374	742	112	276	9	13	324	38	—	—	—	—	—	—
2022	18	ROK	DSL Colorado	—	175	138	49	11	0	11	27	21	4	0	3	355	473	674	1.147	319	345	12	15	476	83	—	—	—	—	—	—
2023	19	A	Fresno Grizzlies	—	450	394	96	19	1	4	43	74	7	2	0	244	329	327	656	84	287	16	10	299	54	—	—	—	—	—	—
2024	20	A+	Spokane Indians	—	433	378	90	12	2	12	41	93	4	15	5	238	319	376	695	138	282	21	9	307	50	—	—	—	—	—	—
2025	21	AA	Hartford Yard Goats	—	344	303	71	9	0	10	35	65	2	3	1	234	318	363	681	129	263	19	10	306	64	—	—	—	—	—	—
2026	22	AAA	Albuquerque Isotopes	—	154	138	38	12	0	3	12	19	0	2	0	275	333	428	761	152	297	12	8	330	84	—	—	—	—	—	—
2026	22	AA	Hartford Yard Goats	—	268	238	64	16	0	14	25	41	1	2	0	269	341	513	854	244	269	15	9	368	95	—	—	—	—	—	—
2026	22	INTL	Navegantes del Magallanes	—	23	20	6	3	0	0	2	1	0	0	0	300	364	450	814	150	300	4	9	346	120	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Colorado	—	131	113	19	3	1	0	11	15	1	1	2	168	248	212	460	44	182	11	8	225	38	—	—	—	—	—	—
2022	18	ROK MLE	DSL Colorado	—	175	146	30	7	0	4	19	26	4	0	3	205	314	336	649	130	206	15	11	291	83	—	—	—	—	—	—
2023	19	A MLE	Fresno Grizzlies	—	450	406	85	16	1	3	32	102	7	2	0	209	279	276	555	67	263	23	7	248	54	—	—	—	—	—	—
2024	20	A+ MLE	Spokane Indians	—	433	392	77	9	2	9	27	126	4	15	5	196	255	298	554	102	251	29	6	242	50	—	—	—	—	—	—
2025	21	AA MLE	Hartford Yard Goats	—	344	311	67	9	0	6	27	77	2	3	1	215	282	302	585	87	258	22	8	263	64	—	—	—	—	—	—
2026	22	AAA MLE	Albuquerque Isotopes	—	154	141	36	11	0	2	9	23	0	2	0	255	300	376	676	121	278	15	6	292	84	—	—	—	—	—	—
2026	22	AA MLE	Hartford Yard Goats	—	268	246	58	14	0	11	17	50	1	2	0	236	288	427	715	191	244	19	6	308	95	—	—	—	—	—	—
2021	17	ROK MLE	DSL Colorado	—	131	113	19	3	1	0	11	15	1	1	2	168	248	212	460	44	186	11	8	225	38	—	—	—	—	—	—
2021	17	ROK RAW	DSL Colorado	—	131	107	28	5	2	1	17	12	1	1	2	262	368	374	742	112	276	9	13	324	38	—	—	—	—	—	—
2022	18	ROK MLE	DSL Colorado	—	175	146	30	7	0	4	19	26	4	0	3	205	314	336	649	130	217	15	11	291	83	—	—	—	—	—	—
2022	18	ROK RAW	DSL Colorado	—	175	138	49	11	0	11	27	21	4	0	3	355	473	674	1.147	319	345	12	15	476	83	—	—	—	—	—	—
2023	19	A MLE	Fresno Grizzlies	—	450	405	85	16	1	3	32	102	7	2	0	210	279	277	556	67	269	23	7	248	54	—	—	—	—	—	—
2023	19	A RAW	Fresno Grizzlies	—	450	394	96	19	1	4	43	74	7	2	0	244	329	327	656	84	287	16	10	299	54	—	—	—	—	—	—
2024	20	A+ MLE	Spokane Indians	—	433	392	77	9	2	9	27	126	4	15	5	196	255	298	554	102	261	29	6	242	50	—	—	—	—	—	—
2024	20	A+ RAW	Spokane Indians	—	433	378	90	12	2	12	41	93	4	15	5	238	319	376	695	138	282	21	9	307	50	—	—	—	—	—	—
2025	21	AA MLE	Hartford Yard Goats	—	344	311	67	9	0	6	27	77	2	3	1	215	282	302	585	87	263	22	8	263	64	—	—	—	—	—	—
2025	21	AA RAW	Hartford Yard Goats	—	344	303	71	9	0	10	35	65	2	3	1	234	318	363	681	129	263	19	10	306	64	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	445	408	99	26	0	14	27	77	1	4	0	243	291	409	701	167	263	17	6	302	91	—	—	—	—	—	—
2026	22	AA RAW	3 teams	—	445	396	108	31	0	17	39	61	1	4	0	273	339	480	819	207	281	14	9	354	91	—	—	—	—	—	—
2021	17	ROK MLE	DSL Colorado	—	131	118	19	3	1	0	11	15	1	1	2	161	248	203	451	42	182	11	8	225	38	—	—	—	—	—	—
2022	18	ROK MLE	DSL Colorado	—	175	150	30	7	0	4	19	26	4	0	3	200	314	327	640	127	206	15	11	291	83	—	—	—	—	—	—
2023	19	A MLE	Fresno Grizzlies	—	450	408	85	16	1	3	32	102	7	2	0	208	279	275	554	66	263	23	7	248	54	—	—	—	—	—	—
2024	20	A+ MLE	Spokane Indians	—	433	399	77	9	2	9	27	126	4	15	5	193	255	293	549	100	251	29	6	242	50	—	—	—	—	—	—
2025	21	AA MLE	Hartford Yard Goats	—	344	312	67	9	0	6	27	77	2	3	1	215	282	301	584	87	258	22	8	263	64	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	445	414	99	26	0	14	27	77	1	4	0	239	291	403	695	164	256	17	6	302	91	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A+ MLE	Spokane Indians	—	433	399	77	9	2	9	27	126	4	15	5	193	255	293	549	100	251	29	6	242	50	—	—	—	—	—	—
2025	21	AA MLE	Hartford Yard Goats	—	344	312	67	9	0	6	27	77	2	3	1	215	282	301	584	87	258	22	8	263	64	—	—	—	—	—	—
2026	22	AA MLE	3 teams	—	445	414	99	26	0	14	27	77	1	4	0	239	291	403	695	164	256	17	6	302	91	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	COL	2%	532	489	114	24	1	14	36	102	2	6	1	232	287	371	658	139	263	19	7	292	84	-10	+1	+1	+10	+12	0.6
▸ 2027 — real world (MLB)
2027	23	MLB CTX	COL	2%	4	4	1	0	0	0	0	1	0	0	0	243	297	396	693	153	274	25	0	307	84	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	COL	28%	399	367	86	18	1	11	27	76	2	4	1	235	291	378	669	143	265	19	7	297	87	-6	+0	+1	+7	+9	1.1
2029	25	MLB MLE	COL	44%	435	399	94	19	1	12	31	84	2	4	1	236	294	381	675	146	267	19	7	300	89	-6	+0	+1	+8	+9	1.3
2030	26	MLB MLE	COL	53%	445	408	97	20	1	13	32	86	2	4	1	236	295	382	677	146	267	19	7	301	90	-5	+0	+1	+8	+10	1.4
2031	27	MLB MLE	COL	56%	445	408	97	20	1	13	32	87	2	4	1	236	295	381	676	146	268	20	7	301	90	-5	+0	+1	+8	+10	1.3
2032	28	MLB MLE	COL	58%	445	408	95	19	1	12	32	89	2	3	1	234	294	378	672	144	268	20	7	299	89	-6	+0	-0	+8	+10	1.2
2033	29	MLB MLE	COL	58%	445	408	94	19	1	12	32	90	2	1	0	232	292	372	663	140	267	20	7	295	86	-7	+0	-1	+8	+10	1.0
2034	30	MLB MLE	COL	58%	437	401	92	19	1	11	31	90	2	1	0	229	288	364	652	135	265	21	7	291	83	-9	+0	-1	+8	+9	0.7
2035	31	MLB MLE	COL	58%	402	369	82	17	0	10	28	84	2	1	0	224	283	354	637	129	262	21	7	285	79	-10	+0	-2	+7	+9	0.4
2036	32	MLB MLE	COL	57%	363	334	74	15	0	9	25	78	1	1	0	219	276	341	618	122	258	21	7	277	73	-12	+0	-3	+6	+8	0.0
2028	24	MLB CTX	COL	28%	113	104	26	5	0	4	8	22	0	1	0	246	302	404	706	158	276	19	7	312	87	-2	+0	+0	+2	+2	0.3
2029	25	MLB CTX	COL	44%	190	174	44	9	1	6	13	36	1	2	0	247	304	408	713	161	278	19	7	315	89	-2	+0	+0	+3	+4	0.6
2030	26	MLB CTX	COL	53%	234	214	54	11	1	8	17	45	1	2	0	248	306	410	715	162	279	19	7	316	90	-3	+0	+0	+4	+5	0.7
2031	27	MLB CTX	COL	56%	249	228	56	11	1	8	18	49	1	2	0	247	306	408	714	161	280	20	7	316	90	-3	+0	+0	+4	+5	0.8
2032	28	MLB CTX	COL	58%	258	236	58	12	1	8	19	52	1	2	0	246	305	405	710	159	280	20	7	314	89	-4	+0	-0	+5	+6	0.7
2033	29	MLB CTX	COL	58%	257	235	58	12	1	8	19	52	1	1	0	243	302	397	699	154	278	20	7	310	86	-4	+0	-0	+5	+6	0.6
2034	30	MLB CTX	COL	58%	252	231	54	11	0	7	18	52	1	1	0	240	298	389	686	149	276	21	7	305	83	-5	+0	-1	+4	+5	0.4
2035	31	MLB CTX	COL	58%	231	212	49	10	0	6	16	48	1	1	0	235	293	377	670	142	273	21	7	298	79	-6	+0	-1	+4	+5	0.2
2036	32	MLB CTX	COL	57%	209	191	44	9	0	6	15	45	1	0	0	229	286	363	649	134	268	22	7	289	73	-7	+0	-2	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1993	1825	443	90	5	61	143	401	8	12	0	243	301	398	698	155	278	20	7	308	78	-36	+2	-3	+36	+43	4.3
/ 162G	—	A+C		—	650	595	145	29	2	20	47	131	3	4	0	244	303	400	703	156	280	20	7	308	78	-12	+1	-1	+12	+14	1.4
Career	—	MLE		—	6004	5470	1233	245	11	145	427	1227	37	50	16	225	286	354	640	128	263	20	7	284	78	-71	+3	-5	+72	+87	8.8
/ 162G	—	MLE		—	650	592	134	27	1	16	46	133	4	5	2	226	287	356	643	130	263	20	7	284	78	-11	+0	-1	+12	+14	1.4

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 AAHartford Yard Goats · 268 PAwOBA .361 → .308 (−52)K% 15.3% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.30%	÷1.000	×1.220	—	—	18.66%
BB% (unintentional) /PA	8.96%	÷1.000	×0.700	—	×1.027	6.44%
HBP% /PA	0.37%	—	×0.850	—	×1.027	0.33%
Singles /BIP	17.26%	÷1.000	×0.970	×0.958	×1.027	16.48%
Doubles /BIP	8.12%	÷1.000	×0.860	×0.958	×1.027	6.87%
Triples /BIP	0.00%	÷1.000	×0.950	×0.958	×1.027	0.00%
Home runs /BIP	7.11%	÷1.000	×0.780	—	×1.027	5.69%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .361 → .308; ISO .244 → .201; BABIP .269 → .244. 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 AAAAlbuquerque Isotopes · 154 PAwOBA .325 → .292 (−34)K% 12.3% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.34%	÷1.000	×1.200	—	—	14.81%
BB% (unintentional) /PA	7.79%	÷1.000	×0.690	—	×1.050	5.65%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	19.33%	÷1.000	×0.930	×1.002	×1.050	18.91%
Doubles /BIP	10.08%	÷1.000	×0.830	×1.002	×1.050	8.80%
Triples /BIP	0.00%	÷1.000	×0.970	×1.002	×1.050	0.00%
Home runs /BIP	2.52%	÷1.000	×0.700	—	×1.050	1.85%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .325 → .292; ISO .152 → .127; BABIP .297 → .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).

2025 AAHartford Yard Goats · 344 PAwOBA .302 → .263 (−38)K% 18.9% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.90%	÷1.025	×1.220	—	—	22.50%
BB% (unintentional) /PA	10.17%	÷0.940	×0.700	—	×1.042	7.90%
HBP% /PA	0.58%	—	×0.850	—	×1.042	0.51%
Singles /BIP	21.85%	÷1.008	×0.970	×0.995	×1.042	21.81%
Doubles /BIP	3.78%	÷0.913	×0.860	×0.995	×1.042	3.69%
Triples /BIP	0.00%	÷1.150	×0.950	×0.995	×1.042	0.00%
Home runs /BIP	4.20%	÷1.255	×0.780	—	×1.042	2.72%

Factors used: league row EL. Park (home-season share, regressed): HR 151, 1B 102, 2B 83, 3B 130, K 105, BB 88 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .302 → .263; ISO .129 → .093; BABIP .263 → .258. 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 A+Spokane Indians · 433 PAwOBA .302 → .242 (−60)K% 21.5% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.48%	÷0.996	×1.350	—	—	29.11%
BB% (unintentional) /PA	9.47%	÷1.106	×0.710	—	×1.027	6.24%
HBP% /PA	0.92%	—	×0.810	—	×1.027	0.77%
Singles /BIP	22.46%	÷0.999	×0.910	×0.987	×1.027	20.74%
Doubles /BIP	4.21%	÷1.098	×0.830	×0.987	×1.027	3.22%
Triples /BIP	0.70%	÷0.907	×0.820	×0.987	×1.027	0.64%
Home runs /BIP	4.21%	÷1.086	×0.830	—	×1.027	3.30%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 100, 2B 120, 3B 81, K 99, BB 121 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .302 → .242; ISO .138 → .106; BABIP .282 → .251. 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 AFresno Grizzlies · 450 PAwOBA .294 → .248 (−46)K% 16.4% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.44%	÷0.987	×1.360	—	—	22.66%
BB% (unintentional) /PA	9.33%	÷0.952	×0.690	—	×1.030	6.96%
HBP% /PA	1.56%	—	×0.780	—	×1.030	1.25%
Singles /BIP	22.50%	÷0.988	×0.920	×0.971	×1.030	20.97%
Doubles /BIP	5.94%	÷0.946	×0.830	×0.971	×1.030	5.21%
Triples /BIP	0.31%	÷0.941	×0.910	×0.971	×1.030	0.30%
Home runs /BIP	1.25%	÷1.186	×0.800	—	×1.030	0.87%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 98, 2B 89, 3B 88, K 97, BB 90 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.

Result: wOBA .294 → .248; ISO .084 → .066; BABIP .287 → .263. 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 Colorado · 175 PAwOBA .474 → .291 (−183)K% 12.0% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷1.002	×1.220	—	—	14.62%
BB% (unintentional) /PA	15.43%	÷0.967	×0.700	—	×0.995	11.11%
HBP% /PA	2.29%	—	×0.700	—	×0.995	1.59%
Singles /BIP	23.08%	÷1.048	×0.680	×1.002	×0.995	14.93%
Doubles /BIP	9.40%	÷1.007	×0.600	×1.002	×0.995	5.59%
Triples /BIP	0.00%	÷0.939	×0.600	×1.002	×0.995	0.00%
Home runs /BIP	9.40%	÷1.271	×0.470	—	×0.995	3.46%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 110, 2B 101, 3B 88, K 100, BB 93 — 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 ×1.002.

Result: wOBA .474 → .291; ISO .319 → .147; BABIP .345 → .206. 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 Colorado · 131 PAwOBA .326 → .225 (−101)K% 9.2% → 11.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.16%	÷1.007	×1.220	—	—	11.10%
BB% (unintentional) /PA	12.98%	÷1.067	×0.700	—	×1.008	8.58%
HBP% /PA	0.76%	—	×0.700	—	×1.008	0.54%
Singles /BIP	21.05%	÷0.978	×0.680	×0.993	×1.008	14.65%
Doubles /BIP	5.26%	÷1.061	×0.600	×0.993	×1.008	2.98%
Triples /BIP	2.11%	÷1.023	×0.600	×0.993	×1.008	1.24%
Home runs /BIP	1.05%	÷1.138	×0.470	—	×1.008	0.44%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 128, 1B 96, 2B 112, 3B 105, K 101, BB 113 — 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 ×0.993.

Result: wOBA .326 → .225; ISO .112 → .066; BABIP .276 → .182. 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
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#3Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
#4Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	pk7: 9
#5George Mitterwald'66-'77 * career totals — 9 seasons, 2,919 PA	4.4	2,919	76	14	235*	294*	396*	+47	-1	6.5	7.4
/162	664	17	3	+10.7	-0.2	1.5	pk7: 8
#6Scott Servais'91-'01 * career totals — 9 seasons, 2,778 PA	4.2	2,778	63	3	235*	296*	373*	+49	+0	6.5	6.9
/162	664	15	1	+11.7	+0.1	1.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.0	1,997	54	11	232	288	372	+36	+0	5.6	5.3
/162	664	18	4	+11.9	+0.0	1.9	pk7: 5

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
Bryant Betancourt (OGILVIE)	23	—	—	—	—	230/285/367	137	263	6	2	19%	7%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Blake DeWitt 2009 · MLB	23	51→53	46→50	46→40	48	251/301/383	132	284	14	5	18%	6%	93	+0.8	244/303/372	128	278	10	4	16%	7%	91	+0.6	242/303/370	128	275	9	3	15%	7%	90	+0.4
✕Hank Conger 2011 · MLB	23	52→58	45→50	41→45	50	255/312/383	128	294	12	3	18%	8%	97	+1.1	239/294/373	134	281	15	3	20%	7%	88	+0.5	230/300/385	155	282	18	0	24%	8%	94	+0.4
✕Taylor Lindsey 2015 · AAA	23	47→53	45→50	45	46	233/278/355	122	263	12	6	17%	5%	78	-0.3	197/255/307	110	240	11	7	22%	7%	58	-1.7	173/235/274	101	214	10	5	24%	7%	42	-1.9
✕Héctor Sánchez 2013 · MLB	23	51→50	44→50	40→30	40	250/281/369	119	305	11	2	22%	4%	82	-0.0	230/275/347	117	287	13	3	24%	5%	75	-0.5	220/264/390	170	259	23	0	25%	5%	80	-0.1
✕Reid Brignac 2009 · AAA	23	47→54	48→55	49→50	42	235/279/382	147	289	15	10	24%	5%	84	+0.2	237/277/355	118	293	11	8	22%	5%	77	-0.3	236/275/340	105	288	9	6	21%	5%	72	-0.5
✕Josh Vitters 2013 · MLB	23	46→51	49→50	43→45	42	236/279/386	150	272	17	7	21%	4%	86	+0.3	212/258/340	128	276	15	7	28%	5%	68	-1.0	181/227/284	103	248	14	5	33%	5%	39	-1.4
✕Eddys Leonard 2024 · AAA	23	46→47	48→50	43→50	42	229/293/371	141	294	15	5	27%	6%	88	+0.4	218/274/363	145	273	17	10	26%	5%	79	-0.2	210/266/358	149	254	18	11	25%	5%	72	-0.5
✕J.R. Towles 2009 · MLB	25	46→53	47→50	44→50	46	233/307/373	140	269	15	10	20%	6%	94	+0.9	218/299/349	131	257	13	8	20%	7%	86	+0.3	201/284/313	112	235	10	6	18%	7%	71	-0.3
✕Isan Díaz 2020 · MLB	24	42→43	50→55	45	44	217/288/375	158	293	18	8	32%	8%	87	+0.4	217/289/371	154	288	18	7	30%	8%	86	+0.3	192/269/361	169	236	25	8	31%	9%	74	-0.2
✕Reese McGuire 2019 · MLB	24	49→54	43→45	45	47	237/298/347	110	288	11	7	21%	7%	83	+0.1	230/283/350	120	279	12	6	21%	6%	78	-0.3	245/296/356	111	296	9	3	20%	6%	85	+0.1
✕Andrew Knizner 2020 · MLB	25	50	47→50	47→40	46	251/303/379	129	282	15	5	18%	6%	93	+0.8	223/294/333	110	269	11	5	21%	7%	79	-0.2	229/296/347	118	278	13	3	22%	6%	83	+0.0
✕Brooks Lee 2024 · AAA	23	50→51	46→50	44→45	49	248/305/388	140	292	12	6	20%	7%	95	+1.0	244/292/386	142	275	16	7	18%	6%	91	+0.6	243/290/392	149	264	19	6	16%	6%	91	+0.6
✕Luis Torrens 2021 · MLB	25	48→49	44→50	43→40	45	238/288/357	119	289	11	3	22%	6%	82	-0.0	233/289/387	154	300	18	3	28%	7%	90	+0.6	235/293/375	140	282	15	2	22%	6%	89	+0.2
✕Eric Duncan 2008 · AAA	23	44	46→50	44→45	47	220/282/353	134	266	14	4	23%	7%	79	-0.2	209/253/316	107	270	10	5	26%	5%	59	-1.7	214/252/344	129	272	15	5	27%	4%	64	-0.8
✕Bryan Anderson 2011 · MLB	24	47→57	44→45	49→30	44	234/286/351	117	293	12	4	24%	6%	80	-0.2	220/277/328	108	291	11	3	27%	7%	72	-0.7	209/270/326	117	272	12	1	27%	7%	66	-0.6
✕Rob Brantly 2013 · MLB	24	53→58	42→50	38→30	45	255/297/363	108	294	9	3	17%	5%	86	+0.3	231/269/321	90	278	7	2	19%	5%	65	-1.2	235/298/334	99	273	9	1	17%	5%	79	-0.1
●Arturo Rodriguez 2014 · AAA	22	48→42	45	43→30	46	239/295/360	121	286	13	6	21%	6%	85	+0.2	256/296/382	126	299	13	3	19%	5%	91	+0.6	251/289/367	117	291	13	0	18%	4%	82	-0.0
✕Matt Thaiss 2019 · AAA	24	48→51	45→55	46→45	46	235/290/363	128	288	11	7	22%	7%	84	+0.1	229/302/386	157	284	17	5	25%	9%	94	+0.9	229/309/386	157	283	18	4	25%	10%	95	+0.7
●Luis García Jr. 2022 · MLB	22	49→57	48→60	42→50	43	249/283/391	142	284	16	5	19%	4%	88	+0.4	267/301/411	144	308	15	10	18%	5%	99	+1.3	267/302/451	184	288	23	15	17%	5%	110	+1.8
✕Rio Ruiz 2018 · MLB	24	46→54	46→50	39→40	46	229/292/361	132	296	14	3	27%	8%	84	+0.2	231/288/362	131	285	14	3	23%	7%	83	+0.1	220/284/360	140	261	16	3	22%	8%	82	-0.0

Bryant Betancourt

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps