Ian Kennedy

PosP

B/TR/R

Born1984-12-19

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

MLBRPLAST SEASON 2023

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	36	MLBPHI	55	0	56	3.20	4.41	27.2%	6.1%	0.1
2022	37	MIX2 levels	58	1	51	5.79	5.20	19.2%	7.9%	-0.4	K 19.0% · BB 8.2% · FIP 5.29
2023	38	MIX2 levels	38	0	42	4.93	4.53	28.8%	8.5%	0.0	K 26.4% · BB 8.0% · FIP 4.69
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -0.3

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2013	28	MLBSD	64	.132/.207/.189	0	0	5	-0.6
2014	29	MLBSD	63	.115/.193/.192	1	0	-1	-0.6
2015	30	MLBSD	48	.095/.095/.167	0	0	-43	-0.7
2016	31	No MLB games played
2017	32	No MLB games played
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -2.0

Contract

No contract data on file.

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)
2007	22	MLB MLE	New York Yankees	3	3	19	77	15	9	1	100%	6.3	19.5%	11.7%	7.8%	1.3%	1.89	3.65	+0.4
2007	22	MLB RAW	New York Yankees	3	3	19	77	15	9	1	100%	6.3	19.5%	11.7%	7.8%	1.3%	1.89	3.63	+0.4
2008	23	MLB MLE	New York Yankees	10	9	40	194	27	26	5	90%	4.0	13.9%	13.4%	0.5%	2.6%	8.17	5.04	+0.2
2008	23	MLB RAW	New York Yankees	10	9	40	194	27	26	5	90%	4.0	13.9%	13.4%	0.5%	2.6%	8.17	5.34	+0.0
2009	24	MLB MLE	New York Yankees	1	0	1	6	1	2	0	0%	1.0	16.7%	33.3%	-16.7%	0.0%	0.00	5.91	-0.0
2009	24	MLB RAW	New York Yankees	1	0	1	6	1	2	0	0%	1.0	16.7%	33.3%	-16.7%	0.0%	0.00	7.10	-0.0
2010	25	MLB MLE	Arizona Diamondbacks	32	32	194	810	168	68	26	100%	6.1	20.7%	8.4%	12.3%	3.2%	3.80	4.16	+2.9
2010	25	MLB RAW	Arizona Diamondbacks	32	32	194	810	168	68	26	100%	6.1	20.7%	8.4%	12.3%	3.2%	3.80	4.16	+2.8
2011	26	MLB MLE	Arizona Diamondbacks	33	33	222	900	198	55	19	100%	6.7	22.0%	6.1%	15.9%	2.1%	2.88	3.16	+6.2
2011	26	MLB RAW	Arizona Diamondbacks	33	33	222	900	198	55	19	100%	6.7	22.0%	6.1%	15.9%	2.1%	2.88	3.17	+6.2
2012	27	MLB MLE	Arizona Diamondbacks	33	33	208	899	187	51	28	100%	6.3	20.8%	5.7%	15.1%	3.1%	4.02	3.75	+4.1
2012	27	MLB RAW	Arizona Diamondbacks	33	33	208	899	187	51	28	100%	6.3	20.8%	5.7%	15.1%	3.1%	4.02	3.79	+4.1
2013	28	MLB MLE	San Diego Padres	31	31	181	794	163	72	27	100%	5.8	20.5%	9.1%	11.5%	3.3%	4.91	4.34	+2.3
2013	28	MLB RAW	San Diego Padres	31	31	181	794	163	72	27	100%	5.8	20.5%	9.1%	11.5%	3.4%	4.91	4.43	+2.1
2014	29	MLB MLE	San Diego Padres	33	33	201	846	207	66	16	100%	6.1	24.5%	7.8%	16.7%	1.8%	3.63	3.03	+6.0
2014	29	MLB RAW	San Diego Padres	33	33	201	846	207	66	16	100%	6.1	24.5%	7.8%	16.7%	1.9%	3.63	3.06	+5.9
2015	30	MLB MLE	San Diego Padres	30	30	168	713	174	48	31	100%	5.6	24.4%	6.7%	17.7%	4.2%	4.28	4.22	+2.3
2015	30	MLB RAW	San Diego Padres	30	30	168	713	174	48	31	100%	5.6	24.4%	6.7%	17.7%	4.3%	4.28	4.28	+2.2
2016	31	MLB MLE	Kansas City Royals	33	33	196	818	184	65	33	100%	5.9	22.5%	7.9%	14.5%	4.4%	3.68	4.60	+1.8
2016	31	MLB RAW	Kansas City Royals	33	33	196	818	184	65	33	100%	5.9	22.5%	7.9%	14.5%	4.0%	3.68	4.41	+2.3
2017	32	MLB MLE	Kansas City Royals	30	30	154	655	131	59	34	100%	5.1	20.0%	9.0%	11.0%	5.6%	5.38	5.63	-0.4
2017	32	MLB RAW	Kansas City Royals	30	30	154	655	131	59	34	100%	5.1	20.0%	9.0%	11.0%	5.2%	5.38	5.42	-0.0
2018	33	MIX MLE	3 levels	24	24	127	554	112	41	20	100%	5.3	20.3%	7.3%	12.9%	4.2%	5.02	4.61	+1.2
2018	33	MIX RAW	3 levels	24	24	127	554	112	41	20	100%	5.3	20.2%	7.4%	12.8%	3.6%	5.02	4.35	+1.6
2019	34	MLB MLE	Kansas City Royals	63	0	63	266	73	16	6	0%	1.0	27.4%	6.0%	21.4%	2.4%	3.41	2.88	+1.3
2019	34	MLB RAW	Kansas City Royals	63	0	63	266	73	16	6	0%	1.0	27.4%	6.0%	21.4%	2.3%	3.41	2.78	+1.3
2020	35	MLB MLE	Kansas City Royals	15	1	14	69	15	4	7	7%	0.9	21.7%	5.8%	15.9%	11.0%	9.00	8.02	-0.6
2020	35	MLB RAW	Kansas City Royals	15	1	14	69	15	4	7	7%	0.9	21.7%	5.8%	15.9%	10.1%	9.00	8.31	-0.6
2021	36	MLB MLE	Philadelphia Phillies	55	0	56	228	62	14	12	0%	1.0	27.2%	6.1%	21.1%	4.9%	3.20	4.28	+0.2
2021	36	MLB RAW	Philadelphia Phillies	55	0	56	228	62	14	12	0%	1.0	27.2%	6.1%	21.1%	5.3%	3.20	4.41	+0.1
2022	37	MIX MLE	2 levels	58	1	51	240	46	19	11	2%	0.9	19.0%	8.2%	10.8%	5.0%	5.79	5.29	-0.4
2022	37	MIX RAW	2 levels	58	1	51	240	46	19	11	2%	0.9	19.2%	7.9%	11.3%	4.6%	5.79	5.20	-0.4
2023	38	MIX MLE	2 levels	38	0	42	177	51	15	9	0%	1.1	26.4%	8.0%	18.4%	5.1%	4.93	4.69	-0.1
2023	38	MIX RAW	2 levels	38	0	42	177	51	15	9	0%	1.1	28.8%	8.5%	20.3%	5.1%	4.93	4.53	+0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			497	290	1904	8100	1775	619	280	58%	3.8	21.9%	7.6%	14.3%	3.5%	4.16	4.12	+28.8
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		497	290	1904	8100	1775	619	280	58%	3.8	21.9%	7.6%	14.3%	3.5%	4.16	4.11	+29.0
/ 200 IP	—	RAW		52	30	200	851	186	65	29	58%	3.8	21.9%	7.6%	14.3%	3.5%	4.16	4.11	+3.0
Career	—	MLE		522	293	1939	8246	1810	629	292	56%	3.7	21.9%	7.6%	14.3%	3.5%	4.19	4.16	+28.8
/ 200 IP	—	MLE		54	30	200	851	187	65	30	56%	3.7	21.9%	7.6%	14.3%	3.5%	4.19	4.16	+3.0

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.

2023 AAARound Rock Express · 26 IPFIP 4.30 → 4.72 (+0.42)K% 29.4% → 25.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.41%	—	×0.860	25.29%
BB% (unintentional) /BF	7.84%	—	×0.900	7.06%
HR / BF /BF	4.90%	÷1.035	×1.100	5.21%

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 107).

Result: FIP 4.30 → 4.72, 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 AANorthwest Arkansas Naturals · 4 IPFIP 2.30 → 2.80 (+0.50)K% 23.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.810	19.29%
BB% (unintentional) /BF	9.52%	—	×1.100	10.48%
HR / BF /BF	0.00%	÷1.008	×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 102).

Result: FIP 2.30 → 2.80, 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).