Anthony DeSclafani

P Arizona Diamondbacks

Age 37 RHP 6'2" / 195 lbs MLB peak 0.4 · 2027

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	32	MIX2 levels	7	7	25	6.20	4.28	18.2%	5.8%	0.3	K 18.1% · BB 4.3% · FIP 4.64
2023	33	MIX2 levels	20	19	104	4.77	4.08	19.1%	4.6%	1.6	K 18.9% · BB 4.8% · FIP 4.24
2025	35	MIX2 levels	18	9	59	4.91	4.82	21.6%	7.3%	0.4	K 20.5% · BB 7.0% · FIP 4.94
2026	36	No MLB games played
2027PROJ	37	MLBARI	5	5	32	4.59	4.74	20.6%	8.1%	0.2
2028PROJ	38	MLBARI	4	4	25	4.82	5.06	19.4%	8.8%	0.1

Last 3 seasons WAR 2.3 · Next 2 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

xwOBA vs46

K%44

FB Velo41

CompsYasutomo Kubo (age 38) · Jarrett Grube (age 35) · Walter Silva (age 38)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 102

ERA4.59

FIP4.74

K%20.6%

BB%8.1%

K-BB%12.5%

Proj IP32

Value2027 · WAR

Runs saved vs league avg · 32 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p4193.9

Whiff%

p5425.9%

p4421.3%

xwOBA vs

p460.316

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)
2014	24	MLB MLE	Miami Marlins	13	5	33	146	26	5	4	38%	2.5	17.8%	3.4%	14.4%	2.9%	6.27	3.61	+0.4
2014	24	MLB RAW	Miami Marlins	13	5	33	146	26	5	4	38%	2.5	17.8%	3.4%	14.4%	2.7%	6.27	3.55	+0.4
2015	25	MLB MLE	Cincinnati Reds	31	31	185	785	151	50	17	100%	6.0	19.2%	6.4%	12.9%	2.0%	4.05	3.38	+4.6
2015	25	MLB RAW	Cincinnati Reds	31	31	185	785	151	50	17	100%	6.0	19.2%	6.4%	12.9%	2.2%	4.05	3.47	+4.4
2016	26	MIX MLE	4 levels	25	25	145	592	124	30	22	100%	5.8	20.6%	5.0%	15.6%	3.6%	3.47	3.95	+2.5
2016	26	MIX RAW	4 levels	25	25	145	592	124	30	22	100%	5.8	20.9%	5.1%	15.9%	3.7%	3.47	3.98	+2.5
2017	27	MIX MLE	2 levels	3	3	7	35	9	1	3	100%	2.2	25.7%	2.9%	22.9%	8.6%	13.50	6.00	—
2017	27	MIX RAW	2 levels	3	3	7	35	9	1	3	100%	2.2	25.7%	2.9%	22.9%	8.6%	13.50	6.70	—
2018	28	MIX MLE	3 levels	25	25	134	563	130	31	29	100%	5.4	22.3%	5.8%	16.5%	4.6%	4.89	4.47	+1.5
2018	28	MIX RAW	3 levels	25	25	134	563	130	31	29	100%	5.4	23.1%	5.5%	17.6%	5.2%	4.89	4.66	+1.1
2019	29	MLB MLE	Cincinnati Reds	31	31	167	696	167	44	29	100%	5.4	24.0%	6.3%	17.7%	3.9%	3.89	3.99	+2.8
2019	29	MLB RAW	Cincinnati Reds	31	31	167	696	167	44	29	100%	5.4	24.0%	6.3%	17.7%	4.2%	3.89	4.15	+2.5
2020	30	MLB MLE	Cincinnati Reds	9	7	34	158	25	16	7	78%	3.7	15.8%	10.1%	5.7%	4.1%	7.22	5.30	+0.0
2020	30	MLB RAW	Cincinnati Reds	9	7	34	158	25	16	7	78%	3.7	15.8%	10.1%	5.7%	4.4%	7.22	5.74	-0.1
2021	31	MLB MLE	San Francisco Giants	31	31	168	676	152	41	19	100%	5.4	22.5%	6.1%	16.4%	3.0%	3.17	3.64	+3.6
2021	31	MLB RAW	San Francisco Giants	31	31	168	676	152	41	19	100%	5.4	22.5%	6.1%	16.4%	2.8%	3.17	3.49	+3.9
2022	32	MIX MLE	2 levels	7	7	25	121	22	7	4	100%	3.5	18.1%	4.3%	13.8%	4.6%	6.20	4.64	+0.2
2022	32	MIX RAW	2 levels	7	7	25	121	22	7	4	100%	3.5	18.2%	5.8%	12.4%	3.3%	6.20	4.28	+0.3
2023	33	MIX MLE	2 levels	20	19	104	435	83	20	16	95%	5.2	18.9%	4.8%	14.1%	3.9%	4.77	4.24	+1.4
2023	33	MIX RAW	2 levels	20	19	104	435	83	20	16	95%	5.2	19.1%	4.6%	14.5%	3.7%	4.77	4.08	+1.6
2025	35	MIX MLE	2 levels	18	9	59	259	56	19	12	50%	3.3	20.5%	7.0%	13.6%	4.9%	4.91	4.94	+0.3
2025	35	MIX MLE	2 levels	18	9	59	259	56	19	12	50%	3.3	20.5%	7.0%	13.6%	4.9%	4.91	4.94	+0.3
2025	35	MIX RAW	2 levels	18	9	59	259	56	19	12	50%	3.3	21.6%	7.3%	14.3%	4.6%	4.91	4.82	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			193	173	981	4134	866	246	146	90%	5.1	20.9%	6.0%	15.0%	3.5%	4.24	4.02	+16.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	ARI	5	5	32	135	28	11	5	100%	6.4	20.6%	8.1%	12.5%	3.6%	4.59	4.74	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	ARI	4	4	25	107	21	9	4	100%	6.3	19.4%	8.8%	10.6%	4.1%	4.94	5.18	+0.1
2028	38	MLB CTX	ARI	4	4	25	106	20	9	4	100%	6.2	19.4%	8.8%	10.6%	3.8%	4.82	5.06	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		197	177	1007	4241	887	255	150	90%	5.1	20.9%	6.0%	14.9%	3.5%	4.25	4.04	+16.3
/ 200 IP	—	RAW		39	35	200	843	176	51	30	90%	5.1	20.9%	6.0%	14.9%	3.5%	4.25	4.04	+3.2
Career	—	MLE		213	193	1059	4466	935	263	159	91%	5.0	20.9%	5.9%	15.0%	3.6%	4.31	4.03	+16.1
/ 200 IP	—	MLE		40	36	200	843	177	50	30	91%	5.0	20.9%	5.9%	15.0%	3.6%	4.31	4.03	+3.2

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 AAAScranton/Wilkes-Barre RailRiders · 20 IPFIP 3.10 → 3.25 (+0.15)K% 22.2% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.22%	—	×0.860	19.11%
BB% (unintentional) /BF	10.00%	—	×0.900	9.00%
HR / BF /BF	1.11%	÷1.070	×1.100	1.14%

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 114).

Result: FIP 3.10 → 3.25, 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 AAASacramento River Cats · 6 IPFIP 2.94 → 3.20 (+0.26)K% 18.5% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.52%	—	×0.880	16.30%
BB% (unintentional) /BF	11.11%	—	×1.050	11.67%
HR / BF /BF	0.00%	÷0.989	×1.100	0.00%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 98).

Result: FIP 2.94 → 3.20, 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).

2018 AAALouisville Bats · 11 IPFIP 7.49 → 8.36 (+0.87)K% 20.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.41%	—	×0.880	17.96%
BB% (unintentional) /BF	4.08%	—	×1.050	4.29%
HR / BF /BF	10.20%	÷0.988	×1.100	11.37%

Result: FIP 7.49 → 8.36, 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).

2018 AAPensacola Blue Wahoos · 8 IPFIP 0.14 → 0.83 (+0.68)K% 40.0% → 32.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.00%	—	×0.810	32.40%
BB% (unintentional) /BF	3.33%	—	×1.100	3.67%
HR / BF /BF	0.00%	÷0.909	×1.200	0.00%

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 82).

Result: FIP 0.14 → 0.83, 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).

2017 ADayton Dragons · 4 IPFIP 8.06 → 9.44 (+1.38)K% 26.1% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.740	19.30%
BB% (unintentional) /BF	0.00%	—	×1.180	0.00%
HR / BF /BF	13.04%	÷1.168	×1.300	14.51%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 134).

Result: FIP 8.06 → 9.44, 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).

2016 AAALouisville Bats · 13 IPFIP 5.63 → 6.94 (+1.31)K% 22.0% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.00%	—	×0.880	19.36%
BB% (unintentional) /BF	0.00%	—	×1.050	0.00%
HR / BF /BF	8.00%	÷0.882	×1.100	9.98%

Result: FIP 5.63 → 6.94, 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
Anthony DeSclafani (OGILVIE)	—	—	—	—	—	3.6%	—	5.18	19.4%	10.6%	25	+0.44	—	—	—
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	79
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	76
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	453	65
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	64
Kenshin Kawakami R 2010 · 4.06 FIP	35	SP	4.06	15.1%	5.6%	2.8%	.293	—	—	—	—	—	3.97	244	62
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	59
Ivan Maldonado R 2016 · 5.41 FIP	36	SP	5.41	6.4%	9.7%	3.0%	.325	—	—	—	—	—	4.60	172	49
Jon Leicester R 2015 · 3.76 FIP	36	SP	3.76	12.3%	5.9%	1.7%	.333	—	—	—	—	—	3.76	113	45
Masato Yoshii R 2002 · 4.15 FIP	37	SP-	4.15	13.4%	5.4%	2.7%	.295	—	—	—	—	—	4.15	757	44
Hiroki Kuroda R 2012 · 3.66 FIP	37	SP	3.66	18.7%	5.5%	2.6%	.277	3.42	18.0%	13.3%	400	-0.24	2.96	1,319	37
Jorge Castillo L 2019 · 4.91 FIP	37	SP	4.91	19.6%	8.1%	4.5%	.316	—	—	—	—	—	4.50	408	37
Arturo Lopez L 2019 · 5.46 FIP	36	SP	5.46	12.2%	6.8%	4.6%	.320	—	—	—	—	—	4.34	445	35
Mauricio Lara L 2016 · 3.68 FIP	37	SP-	3.68	12.1%	7.6%	1.1%	.294	4.34	12.2%	5.6%	219	+0.66	3.62	444	32
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	32
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	32
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	31
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	30
Oscar Rivera L 2017 · 5.80 FIP	36	SP	5.80	9.8%	7.8%	4.6%	.252	—	—	—	—	—	3.68	237	18
Chris Michalak L 2006 · 5.71 FIP	35	SP-	5.71	6.2%	8.6%	3.7%	.273	—	—	—	—	—	4.71	186	16

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 927 starter careers (497 from 1990-2025 + 430 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	5.2	94	20.9%	6.5%	1.37	4.27
Phil Hughes ('18)	6.5	108	18.9%	5.7%	1.33	4.52
Atlee Hammaker ('81-'95, 9 WAR*)	5.4	120	18.1%*	6.4%*	1.18*	4.37*
Chris Capuano ('16)	7.1	119	19.5%	7.5%	1.23	4.38
Mike Minor ('22)	7.0	128	21.6%	7.0%	1.30	4.25
Jim McAndrew ('68-'74, 6 WAR*)	3.9	110	17.4%*	6.6%*	1.29*	4.35*
Greg Harris ('88-'95, 10 WAR*)	4.5	130	19.7%*	7.9%*	1.40*	4.10*