Tony Dibrell — OGILVIE

Tony Dibrell P Syracuse Mets

Age 30 RHP 6'3" / 190 lbs AAA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 129121vR 113

ERA5.06

FIP5.06

K%19.0%

BB%11.0%

K-BB%8.0%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†4545

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 + 2026 so far)
2018	22	A MLE	Columbia Fireflies	23	23	131	560	147	53	10	100%	5.7	19.4%	11.2%	8.3%	2.4%	3.50	4.18	—
2018	22	A RAW	Columbia Fireflies	23	23	131	560	147	53	10	100%	5.7	26.2%	9.5%	16.8%	1.8%	3.50	3.06	—
2019	23	MIX MLE	2 levels	26	24	129	553	113	57	12	92%	5.0	16.0%	11.7%	4.3%	2.5%	4.47	4.62	—
2019	23	MIX RAW	2 levels	26	24	129	553	113	57	12	92%	5.0	20.4%	10.3%	10.1%	2.2%	4.47	3.88	—
2021	25	AA MLE	Binghamton Rumble Ponies	7	5	28	119	25	12	6	71%	4.0	17.0%	11.1%	5.9%	6.1%	4.45	6.41	—
2021	25	AA RAW	Binghamton Rumble Ponies	7	5	28	119	25	12	6	71%	4.0	21.0%	10.1%	10.9%	5.0%	4.45	5.36	—
2022	26	MIX MLE	3 levels	12	10	36	158	49	23	3	83%	3.0	23.8%	17.4%	6.4%	3.0%	3.72	4.96	—
2022	26	MIX RAW	3 levels	12	10	36	158	49	23	3	83%	3.0	31.0%	14.6%	16.5%	1.9%	3.72	3.38	—
2023	27	AAA MLE	Syracuse Mets	9	6	29	150	23	24	12	67%	3.2	12.7%	14.4%	-1.7%	8.8%	10.86	8.67	—
2023	27	AAA MLE	Syracuse Mets	9	6	29	150	23	24	12	67%	3.2	12.7%	14.4%	-1.7%	8.8%	10.86	8.67	—
2023	27	AAA RAW	Syracuse Mets	9	6	29	150	23	24	12	67%	3.2	15.3%	16.0%	-0.7%	8.0%	10.86	9.38	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	NYM	1	1	1	4	1	0	0	100%	1.0	19.0%	11.0%	8.0%	3.3%	5.06	5.06	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	NYM	3	3	20	84	16	9	3	100%	6.7	19.1%	11.2%	7.9%	3.5%	5.11	5.19	-0.1
2027	31	MLB CTX	NYM	1	1	7	30	6	3	1	100%	7.0	19.1%	11.2%	7.9%	3.5%	5.11	5.19	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	7	31	6	3	1	100%	7.4	19.1%	11.2%	7.9%	3.5%	5.11	4.81	+0.0
/ 200 IP	—	RAW		33	33	200	844	163	82	27	100%	6.0	19.1%	11.2%	7.9%	3.5%	5.11	4.81	+0.2
Career	—	MLE		77	68	354	1540	274	189	53	88%	4.6	17.8%	12.3%	5.5%	3.4%	4.56	5.03	-0.1
/ 200 IP	—	MLE		44	38	200	871	155	107	30	88%	4.6	17.8%	12.3%	5.5%	3.4%	4.56	5.03	-0.7

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
Tony Dibrell (OGILVIE)	—	—	5.06	19.0%	11.0%	3.3%	—	5.19	19.1%	7.9%	20	+0.13	—	—	—
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	83
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	676	78
Tyler Herron R 2017 · 4.02 FIP	30	SP	4.02	16.4%	8.7%	2.2%	.377	—	—	—	—	—	4.02	117	75
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	75
Casey Coleman R 2017 · 4.84 FIP	30	SP	4.84	16.8%	11.4%	3.1%	.343	4.99	17.5%	8.8%	107	+0.15	2.95	306	74
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	493	69
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	68
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	68
Alfredo Aceves R 2015 · 4.98 FIP	32	SP	4.98	10.0%	6.2%	3.5%	.244	4.93	9.9%	2.0%	107	-0.05	4.78	160	68
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	67
Tim Lincecum R 2015 · 4.20 FIP	31	SP	4.20	18.0%	10.8%	2.3%	.296	5.02	17.4%	6.3%	89	+0.82	4.20	166	66
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	66
Felipe Paulino R 2015 · 4.55 FIP	31	SP	4.55	15.8%	11.8%	2.3%	.312	4.93	15.0%	4.8%	26	+0.38	4.55	150	65
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	65
Daniel Guerrero R 2016 · 4.81 FIP	31	SP	4.81	12.4%	11.6%	2.3%	.328	4.93	11.7%	2.0%	175	+0.12	4.61	269	65
Forrest Snow R 2019 · 5.53 FIP	30	SP	5.53	18.8%	8.5%	5.3%	.371	—	—	—	—	—	3.02	406	64
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	64
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	64
Mat Latos R 2017 · 5.66 FIP	29	SP	5.66	16.8%	11.2%	4.7%	.309	—	—	—	—	—	3.60	244	63
J.D. Martin R 2016 · 4.85 FIP	33	SP	4.85	9.4%	11.0%	2.1%	.302	5.42	12.2%	-0.2%	249	+0.57	4.85	289	63