Franklin Dacosta

Franklin Dacosta P Montgomery Biscuits

Age 26 LHP 5'11" / 162 lbs AA

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

showingROS

wRC+ AGAINSTvL 106115vR 123

ERA4.71

FIP4.71

K%22.1%

BB%11.4%

K-BB%10.8%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5555

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)
2017	17	ROK MLE	DSL Rays 1	14	3	33	140	27	14	0	21%	2.3	13.1%	12.5%	0.6%	0.0%	4.13	3.58	—
2017	17	ROK RAW	DSL Rays 1	14	3	33	140	27	14	0	21%	2.3	19.3%	10.0%	9.3%	0.0%	4.13	2.73	—
2018	18	ROK MLE	DSL Rays 1	15	6	42	172	55	17	0	40%	2.8	21.7%	12.4%	9.4%	0.0%	2.79	2.83	—
2018	18	ROK RAW	DSL Rays 1	15	6	42	172	55	17	0	40%	2.8	32.0%	9.9%	22.1%	0.0%	2.79	1.70	—
2019	19	ROK MLE	GCL Rays	10	5	39	154	36	10	2	50%	3.9	15.9%	8.1%	7.8%	1.8%	2.09	3.78	—
2019	19	ROK RAW	GCL Rays	10	5	39	154	36	10	2	50%	3.9	23.4%	6.5%	16.9%	1.3%	2.09	2.69	—
2021	21	MIX MLE	2 levels	13	6	57	224	73	14	3	46%	4.4	23.5%	7.5%	16.1%	1.7%	2.37	2.99	—
2021	21	MIX RAW	2 levels	13	6	57	224	73	14	3	46%	4.4	32.6%	6.2%	26.3%	1.3%	2.37	1.96	—
2022	22	MIX MLE	2 levels	25	5	64	262	64	19	8	20%	2.6	19.0%	7.9%	11.1%	3.5%	3.66	4.40	—
2022	22	MIX RAW	2 levels	25	5	64	262	64	19	8	20%	2.6	24.4%	7.3%	17.2%	3.1%	3.66	3.62	—
2023	23	MIX MLE	3 levels	15	0	30	134	28	20	4	0%	2.0	17.0%	19.0%	-2.0%	4.1%	5.46	6.32	—
2023	23	MIX MLE	3 levels	15	0	30	134	28	20	4	0%	2.0	17.0%	19.0%	-2.0%	4.1%	5.46	6.32	—
2023	23	MIX RAW	3 levels	15	0	30	134	28	20	4	0%	2.0	20.9%	14.9%	6.0%	3.0%	5.46	4.99	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	26	MLB	TB	1	0	1	4	1	0	0	0%	1.0	22.1%	11.4%	10.8%	3.0%	4.71	4.71	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	TB	19	0	20	84	19	9	3	0%	1.1	22.3%	11.2%	11.0%	3.1%	4.69	4.71	-0.0
2027	27	MLB CTX	TB	8	0	8	34	8	4	1	0%	1.0	22.3%	11.2%	11.0%	3.1%	4.69	4.71	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	8	32	7	4	1	0%	1.1	22.3%	11.2%	11.0%	3.1%	4.69	4.33	+0.0
/ 200 IP	—	RAW		190	0	200	844	186	106	27	0%	1.1	22.3%	11.2%	11.0%	3.1%	4.69	4.33	+0.5
Career	—	MLE		92	25	264	1086	206	114	21	27%	2.9	18.9%	10.5%	8.4%	2.0%	3.27	3.90	-0.0
/ 200 IP	—	MLE		70	19	200	823	156	87	16	27%	2.9	18.9%	10.5%	8.4%	2.0%	3.27	3.90	-0.4

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
Franklin Dacosta (OGILVIE)	—	—	4.71	22.1%	11.4%	3.0%	—	4.71	22.3%	11.0%	20	+0.00	—	—	—
Sean Mellen L 2022 · 4.01 FIP	24	SU	4.01	21.3%	10.4%	2.5%	.285	—	—	—	—	—	4.01	101	71
Ben Holmes L 2018 · 4.02 FIP	26	SW	4.02	19.1%	9.3%	2.5%	.264	5.57	19.7%	8.6%	61	+1.55	3.09	451	71
Tyler Holton L 2022 · 4.30 FIP	26	SU	4.30	20.7%	9.8%	3.1%	.288	3.67	21.7%	16.8%	258	-0.63	2.97	436	71
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	71
Joe Adametz L 2023 · 5.89 FIP	23	SW	5.89	19.0%	15.0%	4.5%	.158	4.32	14.8%	5.5%	224	-1.57	3.66	248	70
Garrett Irvin L 2023 · 4.42 FIP	24	SU	4.42	23.2%	11.6%	3.3%	.283	4.32	17.7%	2.9%	39	-0.10	4.32	110	70
Braulio Lara L 2015 · 3.96 FIP	26	SU	3.96	16.7%	8.7%	2.1%	.367	5.20	18.9%	3.9%	67	+1.24	3.96	118	69
Irwin Delgado L 2015 · 4.77 FIP	26	SW	4.77	14.4%	9.6%	3.0%	.349	3.53	16.2%	7.6%	237	-1.24	3.52	383	69
Tony Cingrani L 2015 · 3.60 FIP	26	SU	3.60	25.8%	12.9%	1.9%	.305	3.84	25.4%	15.7%	128	+0.24	1.68	186	69
James Reeves L 2019 · 3.74 FIP	26	SU	3.74	22.4%	10.3%	2.2%	.226	5.11	27.0%	10.8%	51	+1.37	2.02	280	68
Adam Scott L 2022 · 5.27 FIP	26	SW	5.27	21.1%	13.5%	4.1%	.317	4.70	15.6%	-1.7%	46	-0.57	4.17	315	68
Bryan Warzek L 2022 · 5.04 FIP	25	SW	5.04	22.1%	15.0%	3.5%	.290	—	—	—	—	—	1.91	138	68
Russell Smith L 2023 · 5.26 FIP	24	SU	5.26	23.3%	12.8%	4.5%	.343	4.00	19.0%	5.1%	53	-1.26	4.00	175	68
Brian Flynn L 2016 · 3.80 FIP	26	SU	3.80	21.3%	11.1%	2.0%	.258	4.39	16.6%	8.2%	198	+0.59	3.80	277	68
Brad Kuntz L 2018 · 4.10 FIP	26	SU	4.10	20.9%	11.7%	2.4%	.352	—	—	—	—	—	2.35	197	67
Kohl Drake L 2023 · 4.81 FIP	23	SW	4.81	16.3%	11.9%	2.9%	.391	4.32	21.8%	12.5%	292	-0.49	3.32	327	67
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	67
Ben Onyshko L 2023 · 4.39 FIP	26	SU	4.39	16.1%	10.2%	2.5%	.268	—	—	—	—	—	3.50	219	67
Jake Drehoff L 2017 · 5.21 FIP	25	SW	5.21	16.8%	9.0%	4.4%	.418	—	—	—	—	—	3.95	153	67
Will Gilbert L 2019 · 4.42 FIP	25	SU	4.42	19.9%	10.3%	3.1%	.306	—	—	—	—	—	2.92	141	67