Keywill Cedeno

P DSL Rockies

Age 22 RHP 6'4" / 204 lbs ROK peak 0.1 · 2027

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKCOL	15	27	2.00	1.80	31.8%	2.7%	—	K 21.6% · BB 3.4% · FIP 2.88
2025	20	ROKCOL	16	21	2.53	1.83	31.9%	6.6%	—	K 21.7% · BB 8.2% · FIP 3.29
2027PROJ	22	MLBCOL	13	14	4.16	4.16	23.1%	7.9%	0.1
2028PROJ49% MLB	23	MLBCOL	10	10	4.10	4.05	23.8%	7.7%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsDaniel Bies (age 22) · Austin Hutchison (age 22) · Kyle Zurak (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 112104vR 96

ERA4.16

FIP4.16

K%23.1%

BB%7.9%

K-BB%15.2%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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 + 2027 so far)
2023	18	ROK MLE	DSL Colorado	12	9	47	182	31	12	3	75%	3.9	11.6%	8.2%	3.3%	2.0%	2.49	4.27	—
2023	18	ROK RAW	DSL Colorado	12	9	47	182	31	12	3	75%	3.9	17.0%	6.6%	10.4%	1.6%	2.49	3.38	—
2024	19	ROK MLE	DSL Rockies	15	0	27	110	35	3	2	0%	1.8	21.6%	3.4%	18.2%	2.1%	2.00	2.88	—
2024	19	ROK MLE	DSL Rockies	15	0	27	110	35	3	2	0%	1.8	21.6%	3.4%	18.2%	2.1%	2.00	2.88	—
2024	19	ROK RAW	DSL Rockies	15	0	27	110	35	3	2	0%	1.8	31.8%	2.7%	29.1%	1.8%	2.00	1.80	—
2025	20	ROK MLE	DSL Rockies	16	0	21	91	29	6	1	0%	1.3	21.7%	8.2%	13.4%	1.8%	2.53	3.29	—
2025	20	ROK MLE	DSL Rockies	16	0	21	91	29	6	1	0%	1.3	21.7%	8.2%	13.4%	1.8%	2.53	3.29	—
2025	20	ROK RAW	DSL Rockies	16	0	21	91	29	6	1	0%	1.3	31.9%	6.6%	25.3%	1.1%	2.53	1.83	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	COL	13	0	14	59	14	5	2	0%	1.1	23.1%	7.9%	15.2%	3.0%	4.16	4.16	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	COL	19	0	20	84	20	6	2	0%	1.1	23.8%	7.7%	16.1%	2.9%	4.10	4.05	+0.1
2028	23	MLB CTX	COL	10	0	10	42	10	3	1	0%	1.0	23.8%	7.7%	16.1%	2.9%	4.10	4.05	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	3	1	0%	1.1	23.8%	7.7%	16.1%	2.9%	4.10	3.67	+0.1
/ 200 IP	—	RAW		190	0	200	844	203	61	20	0%	1.1	23.8%	7.7%	16.1%	2.9%	4.10	3.67	+2.1
Career	—	MLE		43	9	95	383	65	26	8	21%	2.2	16.9%	6.9%	10.0%	2.0%	2.36	3.64	+0.1
/ 200 IP	—	MLE		90	19	200	803	136	55	16	21%	2.2	16.9%	6.9%	10.0%	2.0%	2.36	3.64	+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
Keywill Cedeno (OGILVIE)	—	—	4.16	23.1%	7.9%	3.0%	—	4.05	23.8%	16.1%	20	-0.11	—	—	—
Daniel Bies R 2018 · 3.96 FIP	22	SW	3.96	24.5%	6.8%	3.8%	.339	3.17	20.3%	11.0%	89	-0.79	3.17	115	87
Austin Hutchison R 2017 · 4.05 FIP	22	SW	4.05	19.7%	6.0%	3.4%	.340	4.55	18.7%	9.2%	213	+0.50	3.51	235	87
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	86
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	84
Addison Russ R 2017 · 3.62 FIP	22	SU	3.62	22.2%	7.9%	2.5%	.324	3.09	25.6%	17.5%	121	-0.53	3.08	194	84
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	83
J.T. Hintzen R 2018 · 3.22 FIP	22	SU	3.22	20.1%	7.0%	1.7%	.303	4.37	24.1%	15.1%	123	+1.15	3.22	205	83
Cole Stapler R 2017 · 3.83 FIP	22	SW	3.83	19.2%	6.0%	2.9%	.266	3.31	18.1%	13.2%	220	-0.52	3.26	255	82
Sam Delaplane R 2017 · 3.18 FIP	22	SU	3.18	24.6%	7.7%	2.1%	.342	2.86	32.7%	23.4%	128	-0.32	2.57	194	82
Clayton McGinness R 2019 · 3.85 FIP	22	SW	3.85	19.4%	4.5%	3.3%	.291	4.63	18.7%	7.8%	84	+0.78	3.85	106	82
Michael Gomez R 2019 · 3.32 FIP	22	SU	3.32	22.6%	9.2%	1.8%	.283	3.81	17.9%	8.3%	110	+0.49	3.27	286	81
Parker Curry R 2017 · 3.73 FIP	23	SU	3.73	22.5%	8.2%	2.7%	.341	4.62	18.6%	11.6%	193	+0.89	3.73	256	81
Kevin Coulter R 2019 · 3.27 FIP	22	SU	3.27	21.0%	7.4%	1.8%	.287	4.51	16.1%	7.6%	92	+1.24	3.27	128	81
Clark Beeker R 2016 · 4.04 FIP	23	SW	4.04	20.0%	7.1%	3.2%	.270	4.35	11.6%	6.4%	244	+0.31	4.04	287	81
Dario Gardea R 2021 · 3.98 FIP	22	SU	3.98	21.8%	6.1%	3.6%	.327	4.82	18.9%	8.5%	107	+0.84	3.12	205	81
Kyle Zimmer R 2015 · 3.74 FIP	23	SW	3.74	21.8%	8.6%	2.5%	.293	4.55	20.4%	9.0%	33	+0.81	2.08	276	80
Joshua Loeschorn R 2023 · 3.86 FIP	23	SU	3.86	24.5%	7.7%	3.4%	.272	4.43	17.1%	8.4%	83	+0.57	3.08	151	80
William Fleming R 2021 · 4.12 FIP	22	SW	4.12	22.6%	4.9%	4.2%	.267	5.08	13.2%	4.0%	334	+0.96	4.02	449	80
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	79
Devon Roedahl R 2019 · 3.94 FIP	22	SU	3.94	19.7%	6.7%	3.0%	.305	4.64	16.5%	9.2%	100	+0.70	3.94	122	79