Brandon White — OGILVIE

Brandon White P Jacksonville Jumbo Shrimp

Age 26 RHP 6'8" / 230 lbs AAA Svc 0.0 · Ctrl thru 2033 peak 0.9 · 2027

2026 ROS PROJECTION106 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 110

ERA4.92

FIP4.92

K%13.3%

BB%8.4%

K-BB%4.9%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 112 IP

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

Grades · Contract

Scouting Grades

STUF3535

CTRL5555

CMD4040

K†3030

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.9M	+$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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	23	MIX MLE	2 levels	10	6	29	122	26	10	2	60%	2.9	16.7%	10.3%	6.3%	3.5%	5.02	4.93	—
2023	23	MIX MLE	2 levels	10	6	29	122	26	10	2	60%	2.9	16.7%	10.3%	6.3%	3.5%	5.02	4.93	—
2023	23	MIX RAW	2 levels	10	6	29	122	26	10	2	60%	2.9	21.3%	8.2%	13.1%	1.6%	5.02	3.24	—
2024	24	A MLE	Jupiter Hammerheads	19	15	81	353	72	23	6	79%	4.3	15.1%	7.7%	7.4%	2.5%	4.98	4.16	—
2024	24	A MLE	Jupiter Hammerheads	19	15	81	353	72	23	6	79%	4.3	15.1%	7.7%	7.4%	2.5%	4.98	4.16	—
2024	24	A RAW	Jupiter Hammerheads	19	15	81	353	72	23	6	79%	4.3	20.4%	6.5%	13.9%	1.7%	4.98	3.14	—
2025	25	A+ MLE	Beloit Sky Carp	23	12	93	389	73	26	6	52%	4.0	14.4%	7.7%	6.8%	1.9%	4.06	3.90	—
2025	25	A+ MLE	Beloit Sky Carp	23	12	93	389	73	26	6	52%	4.0	14.4%	7.7%	6.8%	1.9%	4.06	3.90	—
2025	25	A+ RAW	Beloit Sky Carp	23	12	93	389	73	26	6	52%	4.0	18.8%	6.7%	12.1%	1.5%	4.06	3.21	—
▸ 2026 season
YTD	26	AAA MLE	Jacksonville Jumbo Shrimp	24	22	106	452	119	27	16	92%	4.4	21.7%	5.6%	16.1%	3.9%	5.11	4.14	—
YTD	26	AAA MLE	Jacksonville Jumbo Shrimp	24	22	106	452	119	27	16	92%	4.4	21.7%	5.6%	16.1%	3.9%	5.11	4.14	—
▸ 2026 season — so far · projected rest · full
2026	26	AA RAW	MIA	7	6	33	129	39	5	2	86%	4.7	30.2%	3.9%	26.4%	1.6%	3.00	1.89	—
2026	26	AAA RAW	MIA	17	16	73	323	80	22	14	94%	4.3	24.8%	6.8%	18.0%	4.3%	6.07	4.25	—
ROS	26	MLB MLE	MIA	1	1	6	25	3	2	1	100%	5.9	13.3%	8.4%	4.9%	2.7%	4.92	4.92	-0.0
2026 TOT	26	MLB MLE	MIA	—	—	112	477	122	29	17	—	—	25.6%	6.1%	19.5%	3.5%	5.10	4.18	+0.9
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	MIA	17	17	102	430	61	36	12	100%	6.0	14.2%	8.4%	5.7%	2.8%	4.87	4.89	+0.0
2028	28	MLB MLE	MIA	16	16	99	417	61	36	12	100%	6.2	14.6%	8.5%	6.1%	2.9%	4.88	4.92	-0.0
2029	29	MLB MLE	MIA	16	16	94	399	59	35	12	100%	5.9	14.8%	8.7%	6.1%	3.1%	4.95	5.02	-0.1
2030	30	MLB MLE	MIA	15	15	89	375	55	34	12	100%	5.9	14.6%	9.0%	5.6%	3.3%	5.08	5.18	-0.3
2027	27	MLB CTX	MIA	7	7	43	182	26	15	5	100%	6.1	14.2%	8.4%	5.7%	2.7%	4.79	4.81	+0.0
2028	28	MLB CTX	MIA	10	10	62	262	38	22	7	100%	6.2	14.6%	8.5%	6.1%	2.8%	4.80	4.84	-0.0
2029	29	MLB CTX	MIA	12	12	69	291	43	25	8	100%	5.8	14.8%	8.7%	6.1%	2.9%	4.87	4.94	-0.1
2030	30	MLB CTX	MIA	12	12	71	300	44	27	9	100%	5.9	14.6%	9.0%	5.6%	3.1%	4.99	5.09	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		41	41	245	1035	151	90	30	100%	6.0	14.6%	8.7%	5.9%	2.9%	4.87	4.55	+1.0
/ 200 IP	—	RAW		33	33	200	844	123	73	24	100%	6.0	14.6%	8.7%	5.9%	2.9%	4.87	4.55	+0.8
Career	—	MLE		76	55	309	1316	228	95	38	72%	4.1	17.3%	7.2%	10.1%	2.9%	4.75	4.15	-0.4
/ 200 IP	—	MLE		49	36	200	853	148	62	25	72%	4.1	17.3%	7.2%	10.1%	2.9%	4.75	4.15	-0.2

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Brandon White (OGILVIE)	—	—	4.92	13.3%	8.4%	2.7%	—	4.94	14.5%	6.0%	295	+0.02	—	—	—
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	87
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	84
Frank Batista R 2015 · 4.29 FIP	26	SP-	4.29	12.1%	8.2%	2.1%	.280	—	—	—	—	—	4.29	118	83
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	83
Fredy Quintero R 2015 · 4.55 FIP	27	SP-	4.55	11.3%	8.9%	2.3%	.375	4.38	15.1%	7.3%	113	-0.17	4.29	241	81
Bradley Brehmer R 2023 · 4.43 FIP	23	SP	4.43	14.6%	9.5%	2.5%	.349	3.27	20.0%	11.5%	94	-1.16	2.83	165	81
Justin Topa R 2018 · 4.15 FIP	27	SP-	4.15	15.1%	7.9%	2.4%	.374	2.69	19.2%	12.6%	40	-1.46	2.67	280	81
Jake Walters R 2022 · 4.03 FIP	26	SP-	4.03	17.0%	9.4%	2.1%	.316	5.89	14.8%	0.9%	72	+1.86	3.51	261	81
Andrew Quezada R 2023 · 5.33 FIP	26	SP-	5.33	14.4%	9.5%	4.1%	.344	4.92	12.5%	5.0%	173	-0.41	4.40	412	80
Braden Olthoff R 2022 · 4.50 FIP	23	SP-	4.50	12.5%	8.0%	2.6%	.280	—	—	—	—	—	4.50	108	80
Alejandro Martinez R 2015 · 4.46 FIP	26	SP-	4.46	17.5%	10.9%	2.7%	.393	4.24	9.2%	3.9%	53	-0.22	4.24	166	80
Mike Augliera R 2015 · 4.27 FIP	25	SP-	4.27	12.0%	7.2%	2.3%	.350	—	—	—	—	—	4.27	114	80
Jair Jurrjens R 2015 · 4.59 FIP	29	SP-	4.59	10.3%	6.9%	2.7%	.365	4.27	16.3%	8.4%	54	-0.32	4.27	125	80
Terance Marin R 2016 · 4.91 FIP	26	SP-	4.91	11.2%	7.7%	3.2%	.294	4.22	12.4%	7.5%	88	-0.69	3.54	322	80
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	80
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	80
Allen Webster R 2015 · 5.05 FIP	25	SP	5.05	14.0%	9.1%	3.6%	.356	5.78	14.9%	6.8%	58	+0.73	4.56	177	79
Alex Sanabia R 2015 · 4.44 FIP	26	SP-	4.44	11.4%	7.9%	2.4%	.358	3.66	11.1%	6.2%	161	-0.78	3.42	378	79
Cooper Chandler R 2023 · 4.33 FIP	24	SP-	4.33	17.8%	9.3%	2.9%	.300	3.78	23.5%	17.1%	18	-0.55	3.78	107	79
Nestor Molina R 2016 · 4.83 FIP	27	SP	4.83	15.0%	8.0%	3.6%	.304	3.61	17.0%	10.2%	289	-1.22	3.01	401	79

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.3	91	14.4%	8.6%	1.14	4.94
Luis Perdomo ('22)	2.3	90	16.6%	7.8%	1.08	5.09
Sal Romano ('21)	1.3	86	17.0%	8.8%	1.29	5.10
Ty Blach ('24)	2.5	84	12.8%	6.9%	1.23	5.56
Josh Fleming ('24)	1.3	51	14.6%	7.5%	1.17	4.77
Chi Chi González ('22)	1.3	64	13.3%	9.0%	1.41	5.44
Andrew Suárez ('23)	1.1	74	18.2%	7.8%	1.51	5.02