Brandon Jaime

C ACL Reds

Age 22 R/R 5'7" / 170 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1633ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKDSL Rojos	65	.259/.355/.352	1	0	28	—	.161/.242/.179
2025	20	INTLSydney Blue S…	22	.100/.143/.100	0	0	-37	—
2026	21	ROKCIN	35	.250/.471/.417	0	0	82	—	.222/.382/.370
2027PROJMLE	22	MLBCIN	145	.217/.289/.302	1	1	69	0.0
2028PROJ34% MLB	23	MLBCIN	26	.222/.294/.316	0	0	72	0.0
2029PROJ46% MLB	24	MLBCIN	71	.224/.296/.325	1	1	75	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

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 4% · didn't stick 96%

CompsAbrahan Gutierrez (age 22) · Graysen Tarlow (age 23) · Ricardo Olivar (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 29 proj PA

wRC+†69

AVG/OBP/SLG.215 / .287 / .300

PA29

HR0

K%25

BB%7

ISO85

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M 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	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.7M	+$0.0M

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)
2024	19	ROK	DSL Rojos	—	65	54	14	2	0	1	6	8	2	0	0	259	355	352	707	93	283	12	9	312	28	—	—	—	—	—	—
2025	20	INTL	Sydney Blue Sox	—	22	20	2	0	0	0	1	4	0	0	0	100	143	100	243		125	18	5	114	-37	—	—	—	—	—	—
2026	21	ROK	ACL Reds	—	35	24	6	0	2	0	7	5	3	0	0	250	471	417	887	167	316	14	20	398	82	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	DSL Rojos	—	65	56	9	1	0	0	4	10	2	0	0	161	242	179	421	18	185	15	6	209	28	—	—	—	—	—	—
2026	21	ROK MLE	ACL Reds	—	35	27	6	0	2	0	4	7	3	0	0	222	382	370	753	148	242	20	11	289	82	—	—	—	—	—	—
2024	19	ROK MLE	DSL Rojos	—	65	56	9	1	0	0	4	10	2	0	0	161	242	179	421	18	191	15	6	209	28	—	—	—	—	—	—
2024	19	ROK RAW	DSL Rojos	—	65	54	14	2	0	1	6	8	2	0	0	259	355	352	707	93	283	12	9	312	28	—	—	—	—	—	—
2025	20	INTL MLE	Sydney Blue Sox	—	22	20	2	0	0	0	1	4	0	0	0	100	143	100	243		125	18	5	—	—	—	—	—	—	—	—
2025	20	INTL RAW	Sydney Blue Sox	—	22	20	2	0	0	0	1	4	0	0	0	100	143	100	243		125	18	5	114	-37	—	—	—	—	—	—
2026	21	ROK MLE	ACL Reds	—	35	27	6	0	2	0	4	7	3	0	0	222	382	370	753	148	300	20	11	289	82	—	—	—	—	—	—
2026	21	ROK RAW	ACL Reds	—	35	24	6	0	2	0	7	5	3	0	0	250	471	417	887	167	316	14	20	398	82	—	—	—	—	—	—
2024	19	ROK MLE	DSL Rojos	—	65	59	9	1	0	0	4	10	2	0	0	153	242	169	411	17	185	15	6	209	28	—	—	—	—	—	—
2026	21	ROK MLE	ACL Reds	—	35	28	6	0	2	0	4	7	3	0	0	214	382	357	739	143	242	20	11	289	82	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Rojos	—	65	59	9	1	0	0	4	10	2	0	0	153	242	169	411	17	185	15	6	209	28	—	—	—	—	—	—
2026	21	ROK MLE	ACL Reds	—	35	28	6	0	2	0	4	7	3	0	0	214	382	357	739	143	242	20	11	289	82	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	CIN	0%	145	130	28	4	2	1	11	36	3	1	0	217	289	302	592	85	289	25	8	270	69	-5	+0	+0	+3	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	CIN	34%	76	69	15	2	1	1	6	19	1	1	0	220	292	312	605	92	290	25	8	275	72	-2	+0	+0	+1	+2	0.1
2029	24	MLB MLE	CIN	46%	154	139	31	4	2	2	11	38	3	1	1	223	295	321	616	98	291	25	7	280	75	-5	-0	+0	+3	+3	0.1
2030	25	MLB MLE	CIN	52%	220	198	45	6	3	3	16	54	4	2	1	225	297	328	625	103	291	25	7	283	78	-6	+0	+0	+4	+5	0.3
2031	26	MLB MLE	CIN	54%	279	251	56	8	3	4	21	68	5	2	1	226	298	333	631	107	291	24	8	286	80	-7	+0	+0	+5	+6	0.4
2032	27	MLB MLE	CIN	54%	314	282	64	9	4	5	24	77	5	2	1	226	298	334	633	108	291	25	8	286	80	-8	+0	+0	+6	+7	0.5
2033	28	MLB MLE	CIN	54%	332	299	68	10	4	5	25	82	5	1	1	224	296	330	626	106	290	25	8	283	78	-9	-0	-1	+6	+7	0.4
2034	29	MLB MLE	CIN	53%	333	300	68	10	4	5	25	83	5	0	1	222	293	323	617	102	288	25	8	280	75	-10	-0	-1	+6	+7	0.2
2035	30	MLB MLE	CIN	52%	329	296	64	9	3	4	25	83	5	0	1	218	290	315	605	97	286	25	8	275	72	-11	-0	-2	+6	+7	-0.0
2028	23	MLB CTX	CIN	34%	26	24	5	1	0	0	2	6	0	0	0	222	294	316	610	94	291	23	8	277	72	-1	+0	+0	+0	+1	0.0
2029	24	MLB CTX	CIN	46%	71	65	15	2	1	1	5	18	1	1	0	224	296	325	622	101	292	25	7	282	75	-2	+0	+0	+1	+2	0.1
2030	25	MLB CTX	CIN	52%	114	102	23	3	1	2	9	28	2	1	0	226	298	333	631	106	292	25	8	286	78	-3	+0	+0	+2	+2	0.2
2031	26	MLB CTX	CIN	54%	151	136	30	4	2	2	11	37	3	1	0	228	300	339	638	111	292	25	7	288	80	-4	+0	+0	+3	+3	0.3
2032	27	MLB CTX	CIN	54%	170	152	35	5	2	3	13	42	3	1	1	228	300	340	640	112	292	25	8	289	80	-4	-0	+0	+3	+4	0.2
2033	28	MLB CTX	CIN	54%	180	161	36	5	2	3	14	44	3	1	0	226	298	335	633	109	291	24	8	286	78	-5	+0	-0	+3	+4	0.2
2034	29	MLB CTX	CIN	53%	177	159	36	5	2	3	13	44	3	0	0	223	295	328	623	105	289	25	7	282	75	-5	+0	-1	+3	+4	0.1
2035	30	MLB CTX	CIN	52%	172	154	34	5	2	2	13	44	3	0	0	220	291	320	611	100	287	26	8	277	72	-6	+0	-1	+3	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1061	953	214	30	12	16	80	263	18	5	1	225	297	332	628	107	291	25	8	284	73	-29	+1	-2	+19	+23	1.1
/ 162G	—	A+C		—	650	584	131	18	7	10	49	161	11	3	1	224	297	330	627	106	290	25	8	284	73	-18	+0	-1	+12	+14	0.7
Career	—	MLE		—	2188	1963	433	60	26	29	164	532	39	9	7	221	294	322	616	101	286	24	7	277	73	-58	-1	-4	+37	+45	1.9
/ 162G	—	MLE		—	650	583	129	18	8	9	49	158	12	3	2	221	295	326	621	105	286	24	8	277	73	-18	-0	-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.

2026 ROKACL Reds · 35 PAwOBA .390 → .289 (−101)K% 14.3% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.000	×1.440	—	—	20.57%
BB% (unintentional) /PA	20.00%	÷1.000	×0.620	—	×0.975	12.09%
HBP% /PA	8.57%	—	×0.720	—	×0.975	6.02%
Singles /BIP	21.05%	÷1.000	×0.820	—	×0.975	16.83%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Triples /BIP	10.53%	÷1.000	×0.720	—	×0.975	7.39%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.975	0.00%

Factors used: level-wide ROK 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 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .390 → .289; ISO .167 → .132; BABIP .316 → .242. 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 Rojos · 65 PAwOBA .309 → .209 (−100)K% 12.3% → 15.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.31%	÷0.972	×1.220	—	—	15.45%
BB% (unintentional) /PA	9.23%	÷1.037	×0.700	—	×0.985	6.14%
HBP% /PA	3.08%	—	×0.700	—	×0.985	2.12%
Singles /BIP	23.91%	÷1.000	×0.680	×1.009	×0.985	16.16%
Doubles /BIP	4.35%	÷1.022	×0.600	×1.009	×0.985	2.54%
Triples /BIP	0.00%	÷1.007	×0.600	×1.009	×0.985	0.00%
Home runs /BIP	2.17%	÷1.000	×0.470	—	×0.985	1.01%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 100, 2B 104, 3B 101, K 94, BB 107 — 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 ×1.009.

Result: wOBA .309 → .209; ISO .093 → .051; BABIP .283 → .185. 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
#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 5 projected seasons	1.6	1,091	15	5	224	293	327	+19	+20	1.8	1.8
/162	664	9	3	+11.9	+12.2	1.1	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
#6Gary Bennett'95-'08 * career totals — 9 seasons, 1,876 PA	2.8	1,876	22	6	232*	290*	317*	+33	+0	0.1	0.5
/162	664	8	2	+11.8	+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
Brandon Jaime (OGILVIE)	22	—	—	—	—	215/287/300	84	289	0	0	25%	7%	69	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Abrahan Gutierrez 2022 · A	22	50→41	41→45	48→40	51	237/313/339	102	299	7	3	22%	9%	87	+0.4	217/280/318	101	288	9	4	26%	7%	70	-0.8	225/261/287	62	286	4	2	22%	4%	51	-0.5
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕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
✕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
✕Jeremy Lucas 2014 · AA	23	47→44	43→45	50→30	53	228/309/347	120	288	9	4	23%	10%	88	+0.4	224/290/346	122	277	12	3	22%	8%	80	-0.1	219/286/340	120	267	13	1	22%	7%	75	-0.3
✕Daniel Vellojin 2022 · A	22	44	43→45	45	56	213/315/327	114	278	9	7	25%	12%	86	+0.3	190/277/296	106	269	11	5	31%	10%	65	-1.2	162/249/251	89	227	10	4	31%	10%	42	-1.2
✕Yeiner Fernandez 2024 · A	21	52→53	41→40	44→45	49	250/315/344	94	297	8	4	18%	7%	88	+0.5	228/291/299	71	271	4	6	16%	7%	70	-0.8	223/288/281	58	263	3	5	15%	6%	62	-1.0
✕Noah Cardenas 2024 · A	24	47→45	40→45	45	53	222/321/319	97	298	7	9	26%	11%	87	+0.4	191/290/299	108	255	11	6	28%	10%	72	-0.7	160/269/272	112	204	15	4	28%	10%	55	-0.9
✕Miguel Palma 2022 · A	20	43	43→45	47→40	50	206/312/318	112	281	10	9	28%	10%	84	+0.1	220/283/339	119	285	13	4	26%	7%	76	-0.4	216/276/324	108	281	13	2	27%	6%	68	-0.5
✕Nevin Ashley 2007 · A	22	51→50	41→45	48→45	42	237/310/337	100	341	9	9	31%	7%	86	+0.3	224/292/322	98	306	8	9	27%	7%	76	-0.4	223/291/337	115	286	11	4	25%	6%	77	-0.2
✕Dan Butler 2011 · A	24	51→39	41→45	50→40	45	238/311/347	109	312	6	4	24%	7%	88	+0.5	215/283/336	121	263	12	3	22%	7%	76	-0.4	206/274/297	91	259	8	0	22%	7%	61	-0.6
✕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
✕Mike Ohlman 2014 · A	23	50→55	43→45	50→40	45	238/303/357	119	331	9	4	29%	8%	87	+0.4	231/286/331	100	309	8	3	26%	7%	75	-0.5	210/275/327	118	296	14	2	32%	8%	69	-0.6
✕Sam McMillan 2019 · A	20	48	41→30	47→45	49	228/316/330	102	281	8	6	21%	8%	88	+0.4	213/315/286	73	292	4	7	26%	10%	78	-0.3	207/330/269	62	273	4	7	22%	12%	77	-0.2
✕Straton Podaras 2022 · A	24	50	40→55	51→50	44	231/315/330	100	322	6	7	28%	7%	87	+0.4	201/296/338	137	301	14	9	35%	9%	82	+0.0	156/280/329	173	206	22	11	34%	12%	73	-0.2
✕Jordan Groshans 2022 · AA	22	51	44→50	46→30	47	248/308/373	125	318	11	4	25%	8%	93	+0.8	230/296/309	79	291	6	3	21%	8%	74	-0.6	213/267/346	133	247	16	1	21%	6%	69	-0.6
✕Dom Keegan 2023 · A	22	48→52	46→45	50→40	42	231/293/362	131	322	13	8	31%	7%	85	+0.2	230/295/359	129	310	12	3	28%	8%	85	+0.2	226/292/357	131	305	12	1	28%	7%	83	+0.1
✕Andrew Knizner 2017 · A	22	49	44→50	48→40	48	238/313/357	119	268	11	3	16%	6%	92	+0.7	253/302/372	119	289	12	3	17%	5%	91	+0.6	258/306/380	122	292	14	2	17%	5%	92	+0.5
✕Tony Delmonico 2011 · A	24	48	43→45	50→40	48	233/312/339	106	299	10	6	24%	8%	88	+0.4	218/306/327	109	301	10	4	29%	9%	83	+0.1	214/310/337	123	288	13	1	28%	8%	86	+0.2
✕Mark Karaviotis 2017 · A	21	50	41→40	40	47	235/330/340	105	319	7	6	26%	8%	95	+1.0	227/303/318	91	327	7	4	30%	8%	79	-0.2	221/297/300	80	317	6	3	30%	8%	72	-0.5

Brandon Jaime

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps