Ryan Ure

P Quad Cities River Bandits

Age 24 LHP 6'8" / 235 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	23	A+KC	14	12	20.25	8.93	8.3%	33.3%	—	K 6.4% · BB 38.3% · FIP 7.41
2027PROJ	24	MLBKC	7	7	6.29	6.29	14.9%	20.0%	-0.1
2028PROJ43% MLB	25	MLBKC	9	9	5.87	5.72	17.1%	16.9%	-0.1

Next 2 projected WAR -0.2Projected 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 99%

CompsJordan Norberto (age 23) · Jackson Lancaster (age 24) · Chris Nunn (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136144vR 153

ERA6.29

FIP6.29

K%14.9%

BB%20.0%

K-BB%-5.1%

Proj IP7

Value2027 · WAR

Runs saved vs league avg · 7 IP

Grades · Contract

Scouting Grades

K†3040

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)
2026	23	A+ MLE	Quad Cities River Bandits	14	0	12	84	7	28	0	0%	0.9	6.4%	38.3%	-31.9%	0.0%	20.25	7.41	—
2026	23	A+ MLE	Quad Cities River Bandits	14	0	12	84	7	28	0	0%	0.9	6.4%	38.3%	-31.9%	0.0%	20.25	7.41	—
2026	23	A+ RAW	Quad Cities River Bandits	14	0	12	84	7	28	0	0%	0.9	8.3%	33.3%	-25.0%	0.0%	20.25	8.93	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	KC	7	0	7	30	4	6	1	0%	1.0	14.9%	20.0%	-5.1%	2.8%	6.29	6.29	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	KC	19	0	20	84	14	14	2	0%	1.1	17.1%	16.9%	0.1%	2.8%	5.87	5.72	-0.3
2028	25	MLB CTX	KC	9	0	9	38	6	6	1	0%	1.0	17.1%	16.9%	0.1%	2.8%	5.87	5.72	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	6	6	1	0%	1.1	17.1%	16.9%	0.1%	2.8%	5.87	5.34	-0.1
/ 200 IP	—	RAW		190	0	200	844	139	139	23	0%	1.1	17.1%	16.9%	0.1%	2.8%	5.87	5.34	-1.8
Career	—	MLE		14	0	12	84	5	32	0	0%	0.9	6.4%	38.3%	-31.9%	0.0%	20.25	7.41	-0.3
/ 200 IP	—	MLE		233	0	200	1400	90	537	0	0%	0.9	6.4%	38.3%	-31.9%	0.0%	20.25	7.41	-2.7

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
Ryan Ure (OGILVIE)	—	—	6.29	14.9%	20.0%	2.8%	—	5.72	17.1%	0.1%	20	-0.57	—	—	—
Jordan Norberto L 2010 · 6.32 FIP	23	SU	6.32	16.0%	22.3%	3.2%	.236	3.89	21.7%	12.3%	52	-2.43	3.89	117	87
Jackson Lancaster L 2023 · 5.14 FIP	24	SU	5.14	18.9%	17.6%	2.6%	.315	5.15	19.7%	6.8%	122	+0.01	4.15	142	84
Chris Nunn L 2015 · 5.49 FIP	24	SU	5.49	13.9%	16.8%	2.6%	.350	3.92	19.3%	6.7%	37	-1.57	3.30	180	84
Jeff Wallace L 2000 · 5.61 FIP	24	SU	5.61	14.6%	17.8%	2.7%	.308	4.73	16.9%	0.5%	50	-0.88	2.51	137	83
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	82
Mike Matthews L 2000 · 5.76 FIP	26	SU	5.76	14.8%	14.8%	3.7%	.361	4.07	17.6%	8.5%	199	-1.69	3.64	239	80
Jaime Cerda L 2003 · 5.18 FIP	24	SU	5.18	13.2%	13.2%	2.8%	.275	3.92	17.2%	5.0%	65	-1.26	3.10	123	79
Max Schuh L 2016 · 6.12 FIP	24	SU	6.12	16.1%	17.9%	3.9%	.389	4.70	19.2%	5.6%	48	-1.42	3.10	118	79
Nicolo Pinazzi L 2023 · 6.79 FIP	23	SU	6.79	19.3%	26.9%	3.5%	.307	2.58	30.1%	16.3%	62	-4.21	2.58	155	79
Dillon Larsen L 2022 · 5.90 FIP	24	SU	5.90	21.7%	21.6%	3.5%	.277	4.65	18.0%	-4.1%	91	-1.25	4.04	120	78
Jordan Minch L 2017 · 6.88 FIP	24	SU	6.88	13.7%	17.6%	4.9%	.262	5.04	15.9%	4.4%	121	-1.84	3.64	255	78
Cam Booser L 2016 · 6.61 FIP	24	SU	6.61	19.8%	28.0%	3.0%	.274	—	—	—	—	—	2.76	314	77
Trevor Seidenberger L 2016 · 6.29 FIP	24	SU	6.29	13.1%	14.9%	4.4%	.309	—	—	—	—	—	4.64	101	77
Bryan King L 2021 · 5.20 FIP	24	SU	5.20	17.4%	17.8%	2.4%	.317	2.82	24.4%	14.9%	77	-2.38	2.41	244	76
Gil Luna L 2023 · 5.37 FIP	24	SU	5.37	22.5%	24.5%	1.9%	.303	4.95	19.7%	-6.0%	73	-0.42	4.57	113	76
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	76
Matt Minnick L 2019 · 5.59 FIP	23	SU	5.59	17.2%	14.1%	3.9%	.302	4.67	23.5%	12.1%	105	-0.92	3.81	147	75
Gabriel Rodriguez L 2023 · 6.10 FIP	24	SU	6.10	18.8%	28.3%	1.8%	.276	6.05	25.5%	2.1%	46	-0.05	6.05	128	74
Josh D. Smith L 2015 · 5.28 FIP	25	SU	5.28	11.5%	17.1%	1.8%	.258	3.94	19.9%	8.2%	222	-1.34	3.17	335	74
CD Pelham L 2019 · 6.31 FIP	24	SU	6.31	16.2%	21.9%	3.3%	.393	5.04	20.1%	6.9%	32	-1.27	3.39	288	74