Slade Cecconi

P Cleveland Guardians

Age 28 RHP 6'4" / 219 lbs MLB peak 0.7 · 2027

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX2 levels	38	18	124	5.30	4.10	22.6%	5.6%	0.7	K 21.2% · BB 5.3% · FIP 4.28
2025	26	MIX2 levels	26	26	145	4.34	4.29	20.0%	5.5%	1.9	K 19.7% · BB 5.5% · FIP 4.35
2026	27	MIX2 levels	30	21	125	4.91	4.38	18.8%	7.2%	1.5	K 18.8% · BB 7.2% · FIP 4.41
2027PROJ	28	MLBCLE	15	15	92	4.76	4.72	19.3%	6.6%	0.7
2028PROJ	29	MLBCLE	13	13	76	4.83	4.88	18.7%	6.8%	0.5
2029PROJ	30	MLBCLE	10	10	61	4.99	5.09	18.0%	7.1%	0.2

Last 3 seasons WAR 4.0 · Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo37

xwOBA vs32

K%27

CompsBrad Peacock (age 28) · David Phelps (age 28) · Chase Anderson (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 105

ERA4.76

FIP4.72

K%19.3%

BB%6.6%

K-BB%12.7%

Proj IP92

Value2027 · WAR

Runs saved vs league avg · 92 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p3793.6

Whiff%

p1820.8%

p2718.8%

xwOBA vs

p320.333

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 the standard WAR scale.

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)
2021	22	A+ MLE	Hillsboro Hops	12	12	59	248	63	20	5	100%	4.9	19.6%	9.3%	10.3%	2.6%	4.12	4.05	—
2021	22	A+ RAW	Hillsboro Hops	12	12	59	248	63	20	5	100%	4.9	25.4%	8.1%	17.3%	2.0%	4.12	3.08	—
2022	23	AA MLE	Amarillo Sod Poodles	26	25	130	566	127	32	22	96%	5.0	18.2%	6.2%	12.0%	4.3%	4.37	4.69	—
2022	23	AA RAW	Amarillo Sod Poodles	26	25	130	566	127	32	22	96%	5.0	22.4%	5.7%	16.8%	3.9%	4.37	4.09	—
2023	24	MIX MLE	2 levels	30	27	143	618	138	40	28	90%	4.8	19.7%	5.9%	13.8%	4.9%	5.78	4.88	+0.9
2023	24	MIX RAW	2 levels	30	27	143	618	138	40	28	90%	4.8	22.3%	6.5%	15.9%	4.5%	5.78	4.55	+1.4
2024	25	MIX MLE	2 levels	38	18	124	521	118	29	21	47%	3.3	21.2%	5.3%	15.9%	4.2%	5.30	4.28	+0.4
2024	25	MIX MLE	2 levels	38	18	124	521	118	29	21	47%	3.3	21.2%	5.3%	15.9%	4.2%	5.30	4.28	+0.4
2024	25	MIX RAW	2 levels	38	18	124	521	118	29	21	47%	3.3	22.6%	5.6%	17.1%	4.0%	5.30	4.10	+0.7
2025	26	MIX MLE	2 levels	26	26	145	596	119	33	24	100%	5.6	19.7%	5.5%	14.2%	4.0%	4.34	4.35	+1.8
2025	26	MIX MLE	2 levels	26	26	145	596	119	33	24	100%	5.6	19.7%	5.5%	14.2%	4.0%	4.34	4.35	+1.8
2025	26	MIX RAW	2 levels	26	26	145	596	119	33	24	100%	5.6	20.0%	5.5%	14.4%	4.0%	4.34	4.29	+1.9
2026	27	MIX MLE	2 levels	30	21	125	544	102	39	19	70%	4.2	18.8%	7.2%	11.6%	3.6%	4.91	4.41	+1.4
2026	27	MIX MLE	2 levels	30	21	125	544	102	39	19	70%	4.2	18.8%	7.2%	11.6%	3.6%	4.91	4.41	+1.4
2026	27	MIX RAW	2 levels	30	21	125	544	102	39	19	70%	4.2	18.8%	7.2%	11.6%	3.5%	4.91	4.38	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			78	61	357	1522	292	89	63	78%	4.6	19.2%	5.8%	13.3%	4.1%	5.02	4.51	+3.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	CLE	15	15	92	388	75	26	14	100%	6.1	19.3%	6.6%	12.7%	3.7%	4.76	4.72	+0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	CLE	13	13	76	322	60	22	12	100%	5.9	18.7%	6.8%	11.9%	3.9%	4.83	4.88	+0.5
2029	30	MLB MLE	CLE	10	10	61	258	46	18	11	100%	6.1	18.0%	7.1%	10.9%	4.1%	4.99	5.09	+0.2
2028	29	MLB CTX	CLE	13	13	76	321	60	22	12	100%	5.8	18.7%	6.8%	11.9%	3.9%	4.83	4.88	+0.5
2029	30	MLB CTX	CLE	10	10	61	258	46	18	10	100%	6.1	18.0%	7.1%	10.9%	4.1%	4.99	5.09	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		101	84	494	2103	399	129	86	83%	4.9	19.0%	6.1%	12.8%	4.1%	4.98	4.52	+5.1
/ 200 IP	—	RAW		41	34	200	850	161	52	35	83%	4.9	19.0%	6.1%	12.8%	4.1%	4.98	4.52	+2.0
Career	—	MLE		162	129	726	3093	603	194	126	80%	4.5	19.5%	6.3%	13.2%	4.1%	4.87	4.49	+4.4
/ 200 IP	—	MLE		45	36	200	852	166	54	35	80%	4.5	19.5%	6.3%	13.2%	4.1%	4.87	4.49	+1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAAColumbus Clippers · 13 IPFIP 1.94 → 2.12 (+0.18)K% 19.6% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.61%	—	×0.860	16.86%
BB% (unintentional) /BF	3.92%	—	×0.900	3.53%
HR / BF /BF	0.00%	÷1.093	×1.100	0.00%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 118).

Result: FIP 1.94 → 2.12, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAAReno Aces · 47 IPFIP 3.01 → 3.23 (+0.23)K% 29.5% → 25.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.51%	—	×0.860	25.38%
BB% (unintentional) /BF	7.10%	—	×0.900	6.39%
HR / BF /BF	2.73%	÷1.124	×1.100	2.67%

Result: FIP 3.01 → 3.23, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAAReno Aces · 116 IPFIP 4.63 → 5.04 (+0.41)K% 23.3% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.27%	—	×0.860	20.02%
BB% (unintentional) /BF	7.10%	—	×0.900	6.39%
HR / BF /BF	4.73%	÷1.012	×1.100	5.15%

Result: FIP 4.63 → 5.04, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAAmarillo Sod Poodles · 130 IPFIP 4.05 → 4.69 (+0.64)K% 22.4% → 18.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.44%	—	×0.810	18.17%
BB% (unintentional) /BF	5.65%	—	×1.100	6.22%
HR / BF /BF	3.89%	÷1.094	×1.200	4.26%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 119).

Result: FIP 4.05 → 4.69, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 A+Hillsboro Hops · 59 IPFIP 3.08 → 4.05 (+0.96)K% 25.4% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.40%	—	×0.770	19.56%
BB% (unintentional) /BF	8.06%	—	×1.150	9.27%
HR / BF /BF	2.02%	÷0.972	×1.250	2.59%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 3.08 → 4.05, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Slade Cecconi (OGILVIE)	—	—	—	—	—	3.7%	—	4.97	18.4%	11.5%	138	+0.25	—	—	—
Brad Peacock R 2016 · 3.97 FIP	28	SP-	3.97	20.9%	8.7%	2.8%	.302	3.45	29.4%	20.4%	289	-0.52	2.97	748	74
David Phelps R 2015 · 3.94 FIP	28	SP	3.94	16.0%	6.8%	2.4%	.299	2.82	29.9%	20.6%	142	-1.12	2.50	672	72
Chase Anderson R 2016 · 4.83 FIP	28	SP	4.83	18.5%	8.2%	4.1%	.285	4.25	21.3%	13.3%	438	-0.58	3.30	1,260	72
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	3.73	613	66
Victor Santos R 2005 · 4.67 FIP	28	SP	4.67	13.9%	8.1%	3.1%	.278	4.90	16.0%	7.8%	179	+0.23	4.09	602	65
Rodrigo Lopez R 2004 · 4.21 FIP	28	SP-	4.21	16.9%	7.3%	2.9%	.275	4.57	14.2%	7.8%	478	+0.36	4.06	1,344	65
Anthony DeSclafani R 2018 · 4.47 FIP	28	SP	4.47	22.3%	5.8%	4.6%	.290	3.95	22.6%	16.0%	368	-0.52	3.38	1,014	64
Mike Thurman R 2001 · 4.45 FIP	28	SP	4.45	14.6%	6.5%	3.2%	.303	3.46	15.1%	7.9%	33	-0.99	3.46	482	63
Matt Harvey R 2017 · 5.76 FIP	28	SP	5.76	15.5%	10.2%	4.9%	.298	4.71	19.0%	12.0%	249	-1.05	1.87	1,044	62
Taylor Jungmann R 2017 · 3.88 FIP	27	SP-	3.88	18.8%	11.1%	1.8%	.279	—	—	—	—	—	3.59	435	62
Gary Glover R 2005 · 4.20 FIP	28	SP-	4.20	20.4%	7.0%	3.5%	.327	4.50	15.2%	8.3%	132	+0.30	4.02	516	62
Dane Dunning R 2023 · 3.84 FIP	28	SP-	3.84	19.4%	7.6%	2.6%	.282	4.37	20.2%	11.5%	242	+0.53	2.62	950	61
Claudio Vargas R 2006 · 4.54 FIP	28	SP	4.54	16.5%	6.7%	3.6%	.289	4.48	17.2%	8.9%	213	-0.06	3.66	765	61
Armando Galarraga R 2010 · 5.06 FIP	28	SP	5.06	12.0%	8.1%	3.5%	.258	6.67	14.1%	2.6%	67	+1.61	3.92	584	61
Jeff Niemann R 2011 · 4.12 FIP	28	SP	4.12	18.4%	6.3%	3.2%	.274	2.96	21.8%	14.1%	38	-1.16	2.96	544	60
Matt Shoemaker R 2015 · 4.38 FIP	28	SP	4.38	20.4%	5.8%	4.1%	.280	3.74	21.8%	15.9%	269	-0.64	3.12	728	60
Sonny Gray R 2018 · 3.79 FIP	28	SP-	3.79	21.1%	9.8%	2.2%	.320	3.21	28.5%	19.1%	367	-0.58	2.55	2,087	60
Omar Bencomo R 2017 · 4.50 FIP	28	SP-	4.50	18.9%	6.3%	4.0%	.333	4.48	14.9%	10.1%	186	-0.02	3.70	381	60
Patrick Johnson R 2016 · 3.82 FIP	27	SP-	3.82	17.3%	6.9%	2.4%	.286	4.14	15.7%	6.4%	120	+0.32	3.82	248	59
Nick Tropeano R 2019 · 4.96 FIP	28	SP-	4.96	20.3%	9.2%	4.4%	.336	3.93	22.7%	10.0%	83	-1.03	2.34	468	59

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	2.9	84	19.0%	6.3%	1.56	4.95
Sam Gaviglio ('20)	1.5	99	19.1%	7.2%	1.67	4.88
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Adam Morgan ('21)	1.8	62	20.8%	7.2%	1.58	4.80
Bob Heffner ('63-'68, 0 WAR*)	1.8	118	20.0%*	7.2%*	1.37*	5.07*
Mark Grant ('84-'93, 0 WAR*)	3.2	91	18.0%*	8.5%*	1.41*	4.84*
Pat Underwood ('79-'83, 1 WAR*)	1.7	115	20.9%*	6.3%*	1.57*	4.52*