Kendall Graveman

P Arizona Diamondbacks

Age 36 RHP 6'2" / 215 lbs MLB

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	31	MLBCWS	65	0	65	3.18	3.18	23.2%	8.4%	1.1
2023	32	MLBHOU	68	0	66	3.12	4.50	23.4%	12.8%	0.0
2025	34	MIX3 levels	23	2	22	5.73	4.96	12.0%	13.0%	-0.1	K 11.0% · BB 14.6% · FIP 5.44
2026	35	No MLB games played
2027PROJ	36	MLBARI	147	0	154	4.60	4.60	21.6%	10.4%	-0.1
2028PROJ	37	MLBARI	95	0	100	4.84	5.00	20.5%	11.1%	-0.5
2029PROJ	38	MLBARI	68	0	71	5.20	5.43	19.3%	11.8%	-0.7

Last 3 seasons WAR 1.0 · Next 3 projected WAR -1.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo45

K%10

xwOBA vs10

CompsKeiichi Yabu (age 36) · Hirokazu Sawamura (age 34) · Daniel Guerrero (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%21.6%

BB%10.4%

K-BB%11.1%

Proj IP154

Value2027 · WAR

Runs saved vs league avg · 154 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p4594.2

Whiff%

p6828.1%

p1011.0%

xwOBA vs

p100.395

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	23	MLB MLE	Toronto Blue Jays	5	0	5	18	4	0	0	0%	0.9	22.2%	0.0%	22.2%	0.0%	3.86	1.22	+0.2
2014	23	MLB RAW	Toronto Blue Jays	5	0	5	18	4	0	0	0%	0.9	22.2%	0.0%	22.2%	0.0%	3.86	1.39	+0.2
2015	24	MIX MLE	2 levels	25	25	140	605	91	47	16	100%	5.6	14.8%	7.8%	6.9%	2.9%	3.66	4.46	+1.5
2015	24	MIX RAW	2 levels	25	25	140	605	91	47	16	100%	5.6	15.0%	7.8%	7.3%	2.6%	3.66	4.29	+1.8
2016	25	MLB MLE	Oakland Athletics	31	31	186	786	108	45	22	100%	6.0	13.7%	5.7%	8.0%	3.1%	4.11	4.35	+2.3
2016	25	MLB RAW	Oakland Athletics	31	31	186	786	108	45	22	100%	6.0	13.7%	5.7%	8.0%	2.8%	4.11	4.20	+2.6
2017	26	MIX MLE	2 levels	22	22	115	500	77	35	13	100%	5.2	15.2%	7.0%	8.2%	2.9%	4.45	4.29	+1.5
2017	26	MIX RAW	2 levels	22	22	115	500	77	35	13	100%	5.2	15.4%	7.0%	8.4%	2.6%	4.45	4.14	+1.7
2018	27	MIX MLE	2 levels	11	11	58	265	43	20	12	100%	5.3	15.5%	7.7%	7.8%	5.0%	6.33	5.50	-0.1
2018	27	MIX RAW	2 levels	11	11	58	265	43	20	12	100%	5.3	16.2%	7.5%	8.7%	4.5%	6.33	5.33	+0.0
2019	28	MIX MLE	2 levels	2	2	6	23	8	1	1	100%	3.0	34.8%	4.3%	30.4%	4.3%	3.00	3.10	—
2019	28	MIX RAW	2 levels	2	2	6	23	8	1	1	100%	3.0	34.8%	4.3%	30.4%	4.3%	3.00	3.10	—
2020	29	MLB MLE	Seattle Mariners	11	2	19	77	15	8	2	18%	1.7	19.5%	10.4%	9.1%	2.7%	5.79	4.23	+0.1
2020	29	MLB RAW	Seattle Mariners	11	2	19	77	15	8	2	18%	1.7	19.5%	10.4%	9.1%	2.6%	5.79	4.17	+0.1
2021	30	MIX MLE	2 levels	54	0	57	227	63	20	3	0%	1.1	27.5%	8.6%	18.9%	1.4%	1.89	2.63	+1.3
2021	30	MIX RAW	2 levels	54	0	57	227	63	20	3	0%	1.1	27.8%	8.8%	18.9%	1.3%	1.89	2.63	+1.3
2022	31	MLB MLE	Chicago White Sox	65	0	65	285	66	24	5	0%	1.0	23.2%	8.4%	14.7%	1.7%	3.18	3.16	+1.1
2022	31	MLB RAW	Chicago White Sox	65	0	65	285	66	24	5	0%	1.0	23.2%	8.4%	14.7%	1.8%	3.18	3.18	+1.1
2023	32	MLB MLE	Houston Astros	68	0	66	282	66	36	9	0%	1.0	23.4%	12.8%	10.6%	3.3%	3.12	4.54	+0.0
2023	32	MLB RAW	Houston Astros	68	0	66	282	66	36	9	0%	1.0	23.4%	12.8%	10.6%	3.2%	3.12	4.50	+0.0
2025	34	MIX MLE	3 levels	23	2	22	100	12	13	2	9%	1.0	11.0%	14.6%	-3.7%	2.6%	5.73	5.44	-0.2
2025	34	MIX MLE	3 levels	23	2	22	100	12	13	2	9%	1.0	11.0%	14.6%	-3.7%	2.6%	5.73	5.44	-0.2
2025	34	MIX RAW	3 levels	23	2	22	100	12	13	2	9%	1.0	12.0%	13.0%	-1.0%	2.0%	5.73	4.96	-0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			299	80	670	2856	503	226	79	27%	2.2	17.6%	7.9%	9.7%	2.8%	4.03	4.14	+3.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	36	MLB	ARI	147	0	154	650	140	68	19	0%	1.0	21.6%	10.4%	11.1%	2.9%	4.60	4.60	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	37	MLB MLE	ARI	95	0	100	423	87	47	14	0%	1.1	20.5%	11.1%	9.4%	3.4%	4.84	5.00	-0.5
2029	38	MLB MLE	ARI	68	0	71	301	58	36	11	0%	1.0	19.3%	11.8%	7.5%	3.8%	5.20	5.43	-0.7
2028	37	MLB CTX	ARI	95	0	100	422	87	47	14	0%	1.1	20.5%	11.1%	9.4%	3.4%	4.84	5.00	-0.5
2029	38	MLB CTX	ARI	68	0	71	300	58	35	11	0%	1.0	19.3%	11.8%	7.5%	3.8%	5.20	5.43	-0.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		462	80	841	3580	648	308	105	17%	1.8	18.1%	8.6%	9.5%	2.9%	4.23	4.27	+2.8
/ 200 IP	—	RAW		110	19	200	851	154	73	25	17%	1.8	18.1%	8.6%	9.5%	2.9%	4.23	4.27	+0.7
Career	—	MLE		317	95	739	3168	547	251	93	30%	2.3	17.3%	7.9%	9.3%	2.9%	3.99	4.25	+1.9
/ 200 IP	—	MLE		86	26	200	857	148	68	25	30%	2.3	17.3%	7.9%	9.3%	2.9%	3.99	4.25	+0.5

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.

2018 AAANashville Sounds · 24 IPFIP 4.20 → 4.57 (+0.37)K% 15.0% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.95%	—	×0.880	13.16%
BB% (unintentional) /BF	6.54%	—	×1.050	6.87%
HR / BF /BF	2.80%	÷0.988	×1.100	3.12%

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 4.20 → 4.57, 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 AAANashville Sounds · 10 IPFIP 3.93 → 4.36 (+0.43)K% 12.5% → 11.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.50%	—	×0.880	11.00%
BB% (unintentional) /BF	7.14%	—	×1.050	7.50%
HR / BF /BF	1.79%	÷0.868	×1.100	2.26%

Result: FIP 3.93 → 4.36, 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).

2015 AAANashville Sounds · 24 IPFIP 3.59 → 3.95 (+0.36)K% 13.6% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.59%	—	×0.880	11.96%
BB% (unintentional) /BF	8.74%	—	×1.050	9.17%
HR / BF /BF	0.97%	÷0.843	×1.100	1.27%

Result: FIP 3.59 → 3.95, 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
Kendall Graveman (OGILVIE)	—	—	—	—	—	2.9%	—	5.18	20.0%	8.6%	172	+0.58	—	—	—
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	55
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	51
Daniel Guerrero R 2019 · 5.59 FIP	34	SW	5.59	14.7%	11.1%	4.2%	.353	—	—	—	—	—	4.61	269	51
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	51
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	50
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	50
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	49
Pete Walker R 2005 · 4.79 FIP	36	SU	4.79	12.0%	9.2%	2.8%	.261	4.45	19.6%	11.6%	30	-0.34	4.45	327	47
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	47
Joe Nelson R 2009 · 5.35 FIP	34	SU	5.35	19.8%	14.3%	3.9%	.221	—	—	—	—	—	3.08	139	44
Erubiel Gonzalez R 2015 · 3.43 FIP	36	SU	3.43	12.4%	6.0%	1.1%	.328	3.26	14.8%	10.4%	69	-0.17	2.99	119	42
Daniel Bard R 2021 · 3.62 FIP	36	SU	3.62	26.3%	11.5%	2.3%	.337	3.64	24.6%	10.3%	110	+0.02	2.56	456	42
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	40
Jesus Adrian Castillo R 2019 · 5.13 FIP	35	SU	5.13	13.1%	7.8%	3.9%	.319	—	—	—	—	—	2.23	173	39
Austin Bibens-Dirkx R 2021 · 4.20 FIP	36	SP-	4.20	15.8%	5.6%	3.1%	.333	—	—	—	—	—	3.97	567	39
Rafael Martín R 2019 · 4.71 FIP	35	SU	4.71	22.5%	6.0%	5.0%	.333	—	—	—	—	—	2.94	227	39
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	38
Matt Bush R 2022 · 3.73 FIP	36	SU	3.73	30.3%	6.6%	4.3%	.224	3.79	26.2%	17.5%	36	+0.06	2.87	249	38
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	38
Jim Miller R 2016 · 5.43 FIP	34	SU	5.43	20.4%	14.1%	4.1%	.347	—	—	—	—	—	3.95	140	37

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	5.0	99	18.6%	9.1%	1.13	4.28
Ted Power ('81-'93, 8 WAR*)	5.8	97	18.4%*	8.9%*	1.05*	4.38*
Les Lancaster ('87-'93, 4 WAR*)	3.5	101	17.3%*	8.5%*	1.06*	4.37*
Pete Mikkelsen ('64-'72, 1 WAR*)	3.3	73	20.1%*	9.3%*	1.12*	4.15*
Randall Delgado ('18)	2.7	78	20.1%	8.8%	1.11	4.10
Tom Gorzelanny ('16)	4.4	88	18.4%	10.0%	1.00	4.40
Brett Cecil ('18)	3.8	76	20.7%	8.3%	1.14	4.29