Bryan Borbon

P DSL Blue Jays Red

Age 19 RHP 6'0" / 207 lbs ROK peak 0.4 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Blue Jays…	8	7	29	1.53	2.83	17.8%	5.9%	—	K 12.1% · BB 7.4% · FIP 3.70
2027PROJ	19	MLB—	3	3	18	4.36	4.36	21.2%	8.2%	0.1
2028PROJ49% MLB	20	MLB—	3	3	14	4.30	4.26	21.9%	8.1%	0.1

Next 2 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsLuis Arejula (age 19) · Juan Bello (age 18) · Kyle Glogoski (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.36

FIP4.36

K%21.2%

BB%8.2%

K-BB%13.0%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Contract

Scouting Grades

K†5050

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 + 2027 so far)
2025	17	ROK MLE	DSL Blue Jays Red	8	7	29	118	21	7	1	88%	3.7	12.1%	7.4%	4.7%	1.2%	1.53	3.70	—
2025	17	ROK MLE	DSL Blue Jays Red	8	7	29	118	21	7	1	88%	3.7	12.1%	7.4%	4.7%	1.2%	1.53	3.70	—
2025	17	ROK RAW	DSL Blue Jays Red	8	7	29	118	21	7	1	88%	3.7	17.8%	5.9%	11.9%	0.8%	1.53	2.83	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	3	3	18	76	16	6	2	100%	6.0	21.2%	8.2%	13.0%	3.0%	4.36	4.36	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	5	5	28	117	26	9	3	100%	5.5	21.9%	8.1%	13.7%	2.9%	4.30	4.26	+0.2
2028	20	MLB CTX	—	3	3	14	59	13	5	2	100%	4.7	21.9%	8.1%	13.7%	2.9%	4.30	4.26	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	14	57	13	5	2	100%	6.8	21.9%	8.1%	13.7%	2.9%	4.30	3.88	+0.2
/ 200 IP	—	RAW		36	36	200	844	191	73	29	100%	5.5	21.9%	8.1%	13.7%	2.9%	4.30	3.88	+2.4
Career	—	MLE		8	7	29	118	14	9	1	88%	3.7	12.1%	7.4%	4.7%	1.2%	1.53	3.70	+0.2
/ 200 IP	—	MLE		55	48	200	805	97	60	10	88%	3.7	12.1%	7.4%	4.7%	1.2%	1.53	3.70	+1.5

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
Bryan Borbon (OGILVIE)	—	—	4.36	21.2%	8.2%	3.0%	—	4.26	21.9%	13.7%	28	-0.10	—	—	—
Luis Arejula R 2021 · 3.52 FIP	19	SP	3.52	21.9%	8.7%	2.1%	.318	4.46	15.7%	3.5%	71	+0.94	3.52	115	89
Juan Bello R 2022 · 4.02 FIP	18	SP	4.02	18.3%	6.9%	2.9%	.256	3.93	18.2%	7.6%	155	-0.09	3.77	187	88
Kyle Glogoski R 2018 · 3.46 FIP	19	SP-	3.46	19.9%	8.5%	1.7%	.277	3.92	20.6%	9.1%	93	+0.46	3.32	206	86
Jose Montero R 2022 · 3.72 FIP	19	SP	3.72	20.8%	7.9%	2.5%	.377	4.03	15.8%	4.6%	234	+0.31	3.72	375	86
Andry Rondon R 2015 · 3.46 FIP	19	SP	3.46	19.8%	8.2%	1.8%	.283	3.98	15.6%	1.1%	49	+0.52	3.26	105	84
Yorman Gómez R 2022 · 3.36 FIP	19	SP	3.36	18.7%	6.2%	1.9%	.311	3.88	18.0%	6.7%	346	+0.52	3.18	494	83
Logan Gragg R 2019 · 4.14 FIP	20	SP	4.14	17.4%	9.5%	2.4%	.343	5.20	15.2%	8.2%	202	+1.06	4.14	412	82
Jordany Ventura R 2019 · 4.08 FIP	19	SP	4.08	16.8%	8.9%	2.3%	.264	—	—	—	—	—	4.08	219	82
Gabe Bierman R 2021 · 4.80 FIP	21	SP-	4.80	21.3%	11.8%	3.6%	.277	4.51	16.2%	4.0%	187	-0.29	4.03	328	82
Andrew Hoffmann R 2021 · 3.17 FIP	21	SP	3.17	23.6%	8.1%	1.9%	.275	4.89	18.9%	9.1%	311	+1.72	3.17	422	81
Edwin Jimenez R 2021 · 4.03 FIP	19	SP-	4.03	19.3%	8.9%	2.6%	.330	4.79	16.5%	8.0%	277	+0.76	4.03	406	81
Marco Raya R 2022 · 4.77 FIP	19	SP	4.77	21.4%	10.3%	4.0%	.250	4.42	19.8%	8.6%	254	-0.35	3.99	383	80
Chris Clark R 2023 · 3.29 FIP	21	SP	3.29	18.9%	6.9%	1.7%	.362	4.79	18.2%	7.5%	333	+1.50	3.29	353	80
Enniel Cortez R 2024 · 4.66 FIP	18	SP	4.66	17.0%	7.3%	3.8%	.366	6.43	13.5%	-2.6%	37	+1.77	2.38	131	80
Dario Gardea R 2018 · 3.46 FIP	19	SP-	3.46	18.6%	8.7%	1.5%	.250	3.45	19.5%	12.4%	50	-0.01	3.12	205	80
José López R 2015 · 4.04 FIP	21	SP	4.04	19.1%	9.9%	2.3%	.329	3.77	17.9%	9.9%	436	-0.27	3.12	543	80
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	79
Yordi Rosario R 2018 · 3.53 FIP	19	SP-	3.53	21.3%	6.7%	2.5%	.341	—	—	—	—	—	3.25	163	79
Porter Hodge R 2021 · 4.20 FIP	20	SP-	4.20	19.3%	8.8%	2.9%	.336	3.39	24.3%	10.6%	249	-0.81	2.95	349	79
Felix Arronde R 2022 · 4.74 FIP	19	SP	4.74	20.7%	9.9%	3.9%	.371	4.23	16.7%	7.3%	278	-0.51	4.16	442	79