Cayne Ueckert

P Knoxville Smokies

Age 31 RHP 6'3" / 195 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	27	AATennessee Smo…	36	39	4.58	3.23	28.9%	12.7%	—	K 23.4% · BB 14.0% · FIP 3.95
2024	28	MIX2 levels	31	35	5.35	4.32	23.8%	11.2%	—	K 18.7% · BB 12.7% · FIP 5.60
2025	29	AACHC	28	30	5.46	4.72	24.5%	15.4%	—	K 19.8% · BB 16.9% · FIP 5.59
2027PROJ	31	MLBCHC	16	17	5.14	5.14	20.9%	13.6%	-0.1
2028PROJ31% MLB	32	MLBCHC	6	6	5.19	5.28	20.7%	13.6%	-0.0

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJim Miller (age 30) · Neil Wagner (age 32) · Dustin Molleken (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA5.14

FIP5.14

K%20.9%

BB%13.6%

K-BB%7.3%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 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)
2019	23	ROK MLE	AZL Cubs 2	15	0	24	101	26	12	1	0%	1.6	17.5%	14.9%	2.7%	1.4%	1.90	4.26	—
2019	23	ROK RAW	AZL Cubs 2	15	0	24	101	26	12	1	0%	1.6	25.7%	11.9%	13.9%	1.0%	1.90	2.97	—
2021	25	MIX MLE	2 levels	26	0	31	114	37	12	3	0%	1.2	24.6%	12.9%	11.7%	3.4%	1.45	4.51	—
2021	25	MIX RAW	2 levels	26	0	31	114	37	12	3	0%	1.2	32.5%	10.5%	21.9%	2.6%	1.45	3.13	—
2022	26	AAA MLE	Iowa Cubs	39	1	50	256	63	50	12	3%	1.3	21.7%	20.5%	1.1%	5.2%	7.74	6.71	—
2022	26	AAA RAW	Iowa Cubs	39	1	50	256	63	50	12	3%	1.3	24.6%	19.5%	5.1%	4.7%	7.74	6.70	—
2023	27	AA MLE	Tennessee Smokies	36	0	39	173	50	22	3	0%	1.1	23.4%	14.0%	9.4%	1.9%	4.58	3.95	—
2023	27	AA RAW	Tennessee Smokies	36	0	39	173	50	22	3	0%	1.1	28.9%	12.7%	16.2%	1.7%	4.58	3.23	—
2024	28	MIX MLE	2 levels	31	0	35	160	38	18	5	0%	1.1	18.7%	12.7%	6.0%	4.5%	5.35	5.60	—
2024	28	MIX MLE	2 levels	31	0	35	160	38	18	5	0%	1.1	18.7%	12.7%	6.0%	4.5%	5.35	5.60	—
2024	28	MIX RAW	2 levels	31	0	35	160	38	18	5	0%	1.1	23.8%	11.2%	12.5%	3.1%	5.35	4.32	—
2025	29	AA MLE	Knoxville Smokies	28	0	30	143	35	22	4	0%	1.1	19.8%	16.9%	2.9%	3.7%	5.46	5.59	—
2025	29	AA MLE	Knoxville Smokies	28	0	30	143	35	22	4	0%	1.1	19.8%	16.9%	2.9%	3.7%	5.46	5.59	—
2025	29	AA RAW	Knoxville Smokies	28	0	30	143	35	22	4	0%	1.1	24.5%	15.4%	9.1%	2.8%	5.46	4.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	CHC	16	0	17	72	15	10	2	0%	1.1	20.9%	13.6%	7.3%	3.1%	5.14	5.14	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	CHC	19	0	20	84	18	11	3	0%	1.1	20.7%	13.6%	7.1%	3.3%	5.19	5.28	-0.2
2028	32	MLB CTX	CHC	6	0	6	25	5	3	1	0%	1.0	20.7%	13.6%	7.1%	3.3%	5.19	5.28	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	4	1	0%	1.0	20.7%	13.6%	7.1%	3.3%	5.19	4.90	-0.0
/ 200 IP	—	RAW		190	0	200	844	160	128	32	0%	1.1	20.7%	13.6%	7.1%	3.3%	5.19	4.90	-0.8
Career	—	MLE		175	1	209	947	200	151	34	1%	1.2	21.1%	15.9%	5.2%	3.6%	4.82	5.32	-0.2
/ 200 IP	—	MLE		167	1	200	906	191	144	33	1%	1.2	21.1%	15.9%	5.2%	3.6%	4.82	5.32	-1.7

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
Cayne Ueckert (OGILVIE)	—	—	5.14	20.9%	13.6%	3.1%	—	5.28	20.7%	7.1%	20	+0.14	—	—	—
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	85
Neil Wagner R 2016 · 4.05 FIP	32	SU	4.05	19.8%	12.3%	1.9%	.360	3.11	20.7%	12.1%	54	-0.94	3.11	135	83
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	80
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	79
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	78
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	77
Manny Acosta R 2012 · 4.49 FIP	31	SU	4.49	21.3%	11.1%	3.2%	.295	—	—	—	—	—	3.08	350	75
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	75
Jason Bulger R 2010 · 4.36 FIP	31	SU	4.36	22.5%	13.5%	2.6%	.324	—	—	—	—	—	3.78	106	75
Fredy Quintero R 2019 · 4.62 FIP	31	SU	4.62	17.2%	13.7%	2.2%	.310	—	—	—	—	—	4.29	241	74
David Carpenter R 2016 · 4.49 FIP	31	SU	4.49	21.4%	12.8%	2.9%	.333	3.89	21.5%	11.9%	49	-0.60	2.66	275	74
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	73
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	73
Brian Sanches R 2010 · 4.24 FIP	31	SU	4.24	21.3%	10.6%	2.9%	.217	4.35	19.6%	8.5%	62	+0.11	3.39	229	73
Dan Winkler R 2021 · 4.76 FIP	31	SU	4.76	21.1%	15.3%	2.7%	.233	3.87	24.4%	10.4%	46	-0.89	2.40	231	73
Antonio Guzman R 2019 · 4.96 FIP	31	SU	4.96	19.3%	14.7%	3.0%	.326	—	—	—	—	—	3.15	254	72
Luis Angel Daniel R 2016 · 4.56 FIP	31	SU	4.56	13.4%	8.9%	2.7%	.286	4.16	9.8%	0.3%	53	-0.40	4.16	156	72
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	72
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	71
Arcenio Leon R 2017 · 4.42 FIP	30	SU	4.42	18.5%	13.7%	2.1%	.203	3.61	21.4%	13.3%	18	-0.81	3.00	115	71