Franly Urena

P Dunedin Blue Jays

Age 23 RHP 5'8" / 160 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	MIX2 levels	19	5	41	4.17	4.66	24.6%	16.2%	—	K 16.2% · BB 17.0% · FIP 6.71
2025	21	ROKTOR	16	0	18	6.38	3.81	26.1%	17.4%	—	K 17.7% · BB 21.7% · FIP 5.13
2026	22	MIX2 levels	35	1	54	3.52	4.05	26.0%	15.3%	—	K 19.4% · BB 18.0% · FIP 5.25
2027PROJ	23	MLBTOR	28	0	29	5.58	5.58	20.1%	17.2%	-0.3
2028PROJ43% MLB	24	MLBTOR	20	0	21	5.29	5.17	21.1%	14.8%	-0.1
2029PROJ66% MLB	25	MLBTOR	31	0	33	5.05	4.92	21.7%	13.2%	-0.1

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsJames Acuna (age 23) · Morgan McSweeney (age 23) · Hudson Leach (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 139131vR 123

ERA5.58

FIP5.58

K%20.1%

BB%17.2%

K-BB%2.9%

Proj IP29

Value2027 · WAR

Runs saved vs league avg · 29 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)
2023	19	ROK MLE	DSL Blue Jays	13	2	19	91	15	9	3	15%	1.5	11.2%	12.4%	-1.2%	4.3%	4.26	6.06	—
2023	19	ROK RAW	DSL Blue Jays	13	2	19	91	15	9	3	15%	1.5	16.5%	9.9%	6.6%	3.3%	4.26	4.99	—
2024	20	MIX MLE	2 levels	19	5	41	191	47	31	5	26%	2.2	16.2%	17.0%	-0.8%	5.1%	4.17	6.71	—
2024	20	MIX MLE	2 levels	19	5	41	191	47	31	5	26%	2.2	16.2%	17.0%	-0.8%	5.1%	4.17	6.71	—
2024	20	MIX RAW	2 levels	19	5	41	191	47	31	5	26%	2.2	24.6%	16.2%	8.4%	2.6%	4.17	4.66	—
2025	21	ROK MLE	FCL Blue Jays	16	0	18	92	24	16	1	0%	1.1	17.7%	21.7%	-4.0%	1.4%	6.38	5.13	—
2025	21	ROK MLE	FCL Blue Jays	16	0	18	92	24	16	1	0%	1.1	17.7%	21.7%	-4.0%	1.4%	6.38	5.13	—
2025	21	ROK RAW	FCL Blue Jays	16	0	18	92	24	16	1	0%	1.1	26.1%	17.4%	8.7%	1.1%	6.38	3.81	—
2026	22	MIX MLE	2 levels	35	1	54	235	61	36	5	3%	1.5	19.4%	18.0%	1.4%	2.7%	3.52	5.25	—
2026	22	MIX MLE	2 levels	35	1	54	235	61	36	5	3%	1.5	19.4%	18.0%	1.4%	2.7%	3.52	5.25	—
2026	22	MIX RAW	2 levels	35	1	54	235	61	36	5	3%	1.5	26.0%	15.3%	10.6%	2.1%	3.52	4.05	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	TOR	28	0	29	122	25	21	4	0%	1.0	20.1%	17.2%	2.9%	3.0%	5.58	5.58	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	TOR	47	0	50	209	44	31	6	0%	1.1	21.1%	14.8%	6.3%	2.9%	5.29	5.17	-0.3
2029	25	MLB MLE	TOR	48	0	50	212	46	28	6	0%	1.0	21.7%	13.2%	8.5%	2.9%	5.05	4.92	-0.2
2028	24	MLB CTX	TOR	20	0	21	89	19	13	3	0%	1.1	21.1%	14.8%	6.3%	2.9%	5.29	5.17	-0.1
2029	25	MLB CTX	TOR	31	0	33	139	30	18	4	0%	1.1	21.7%	13.2%	8.5%	2.9%	5.05	4.92	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		52	0	54	230	49	32	7	0%	1.0	21.4%	13.8%	7.7%	2.9%	5.14	4.64	-0.1
/ 200 IP	—	RAW		190	0	200	844	180	118	26	0%	1.0	21.4%	13.8%	7.7%	2.9%	5.14	4.64	-0.2
Career	—	MLE		83	8	132	609	103	106	21	10%	1.6	16.9%	17.4%	-0.5%	3.5%	4.23	5.81	-0.6
/ 200 IP	—	MLE		126	12	200	923	156	161	33	10%	1.6	16.9%	17.4%	-0.5%	3.5%	4.23	5.81	-1.2

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
Franly Urena (OGILVIE)	—	—	5.58	20.1%	17.2%	3.0%	—	5.04	21.4%	7.4%	100	-0.54	—	—	—
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	93
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	90
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	90
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	88
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	87
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	87
Konnor Ash R 2022 · 4.57 FIP	23	SU	4.57	22.2%	17.0%	2.2%	.340	3.56	22.4%	8.7%	87	-1.01	2.11	127	87
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	87
Matt Brill R 2018 · 4.90 FIP	23	SU	4.90	20.8%	16.3%	2.7%	.248	3.89	19.4%	4.9%	60	-1.01	3.73	161	87
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	87
Sal Biasi R 2019 · 5.22 FIP	23	SU	5.22	20.1%	15.8%	3.3%	.295	7.66	15.3%	-0.2%	23	+2.44	4.68	188	86
Blake Holub R 2022 · 4.55 FIP	23	SU	4.55	21.7%	15.3%	2.4%	.339	3.73	23.4%	12.7%	156	-0.82	3.22	258	86
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	86
Franklyn German R 2003 · 5.17 FIP	23	SU	5.17	18.5%	18.9%	2.2%	.313	5.27	13.1%	0.1%	86	+0.10	3.37	152	86
Hunter Parsons R 2021 · 5.38 FIP	24	SU	5.38	21.4%	15.3%	3.9%	.247	4.78	21.8%	10.2%	115	-0.60	4.73	183	86
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	86
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	85
Grayson Thurman R 2023 · 4.63 FIP	24	SU	4.63	19.5%	14.1%	2.5%	.319	4.85	19.9%	10.5%	87	+0.22	4.58	132	85
Will McAffer R 2019 · 4.68 FIP	22	SU	4.68	20.4%	18.1%	1.8%	.270	5.96	18.5%	-4.0%	77	+1.28	4.68	133	85
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	85

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.6	43	21.1%	14.7%	1.13	5.26
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*