Zack Greinke

PosP

B/TR/R

Born1983-10-21

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBSPLAST SEASON 2023

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	37	MIX2 levels	31	30	173	4.11	4.56	17.5%	5.1%	1.7	K 17.2% · BB 5.2% · FIP 4.73
2022	38	MIX2 levels	28	28	149	3.56	3.89	12.9%	4.5%	2.7	K 12.5% · BB 4.6% · FIP 4.05
2023	39	MLBKC	30	27	142	5.06	4.51	16.4%	3.9%	1.5
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR 5.9

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	33	MLBARI	70	.210/.246/.274	0	0	30	-0.4
2018	34	MLBARI	71	.234/.269/.297	0	3	44	-0.3
2019	35	MLBHOU	56	.280/.308/.580	3	1	124	0.3
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -0.4

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)
2004	20	MLB MLE	Kansas City Royals	24	24	145	599	100	23	26	100%	6.0	16.7%	3.8%	12.9%	4.3%	3.97	4.56	+1.4
2004	20	MLB RAW	Kansas City Royals	24	24	145	599	100	23	26	100%	6.0	16.7%	3.8%	12.9%	4.3%	3.97	4.53	+1.5
2005	21	MLB MLE	Kansas City Royals	33	33	183	829	114	53	23	100%	5.5	13.8%	6.4%	7.4%	2.8%	5.80	4.27	+2.4
2005	21	MLB RAW	Kansas City Royals	33	33	183	829	114	53	23	100%	5.5	13.8%	6.4%	7.4%	2.8%	5.80	4.36	+2.2
2006	22	MLB MLE	Kansas City Royals	3	0	6	28	5	1	1	0%	2.1	17.9%	3.6%	14.3%	3.6%	4.26	4.00	+0.0
2006	22	MLB RAW	Kansas City Royals	3	0	6	28	5	1	1	0%	2.1	17.9%	3.6%	14.3%	3.6%	4.26	4.05	+0.0
2007	23	MLB MLE	Kansas City Royals	52	14	122	507	106	31	12	27%	2.3	20.9%	6.1%	14.8%	2.4%	3.69	3.41	+1.7
2007	23	MLB RAW	Kansas City Royals	52	14	122	507	106	31	12	27%	2.3	20.9%	6.1%	14.8%	2.4%	3.69	3.40	+1.7
2008	24	MLB MLE	Kansas City Royals	32	32	202	851	183	55	21	100%	6.3	21.5%	6.5%	15.0%	2.5%	3.47	3.46	+4.8
2008	24	MLB RAW	Kansas City Royals	32	32	202	851	183	55	21	100%	6.3	21.5%	6.5%	15.0%	2.5%	3.47	3.46	+4.8
2009	25	MLB MLE	Kansas City Royals	33	33	229	915	242	51	11	100%	6.9	26.4%	5.6%	20.9%	1.2%	2.16	2.23	+9.7
2009	25	MLB RAW	Kansas City Royals	33	33	229	915	242	51	11	100%	6.9	26.4%	5.6%	20.9%	1.2%	2.16	2.28	+9.6
2010	26	MLB MLE	Kansas City Royals	33	33	220	919	181	54	18	100%	6.7	19.7%	5.9%	13.8%	2.1%	4.17	3.34	+5.6
2010	26	MLB RAW	Kansas City Royals	33	33	220	919	181	54	18	100%	6.7	19.7%	5.9%	13.8%	2.0%	4.17	3.25	+5.9
2011	27	MLB MLE	Milwaukee Brewers	28	28	172	715	201	45	19	100%	6.1	28.1%	6.3%	21.8%	2.5%	3.83	2.91	+5.4
2011	27	MLB RAW	Milwaukee Brewers	28	28	172	715	201	45	19	100%	6.1	28.1%	6.3%	21.8%	2.7%	3.83	2.98	+5.2
2012	28	MLB MLE	Los Angeles Angels	34	34	212	868	200	54	18	100%	6.2	23.0%	6.2%	16.8%	2.0%	3.48	3.06	+6.3
2012	28	MLB RAW	Los Angeles Angels	34	34	212	868	200	54	18	100%	6.2	23.0%	6.2%	16.8%	2.1%	3.48	3.08	+6.2
2013	29	MLB MLE	Los Angeles Dodgers	28	28	178	717	148	45	13	100%	6.3	20.6%	6.3%	14.4%	1.7%	2.63	3.11	+5.1
2013	29	MLB RAW	Los Angeles Dodgers	28	28	178	717	148	45	13	100%	6.3	20.6%	6.3%	14.4%	1.8%	2.63	3.15	+5.0
2014	30	MLB MLE	Los Angeles Dodgers	32	32	202	821	207	40	19	100%	6.3	25.2%	4.9%	20.3%	2.2%	2.71	2.81	+6.7
2014	30	MLB RAW	Los Angeles Dodgers	32	32	202	821	207	40	19	100%	6.3	25.2%	4.9%	20.3%	2.3%	2.71	2.87	+6.5
2015	31	MLB MLE	Los Angeles Dodgers	32	32	223	843	200	39	14	100%	7.0	23.7%	4.6%	19.1%	1.6%	1.66	2.56	+8.3
2015	31	MLB RAW	Los Angeles Dodgers	32	32	223	843	200	39	14	100%	7.0	23.7%	4.6%	19.1%	1.7%	1.66	2.65	+8.0
2016	32	MIX MLE	3 levels	28	28	167	705	144	40	25	100%	6.0	20.1%	5.7%	14.4%	3.4%	4.43	4.00	+2.8
2016	32	MIX RAW	3 levels	28	28	167	705	144	40	25	100%	6.0	20.4%	5.7%	14.8%	3.5%	4.43	4.04	+2.7
2017	33	MLB MLE	Arizona Diamondbacks	32	32	202	801	215	45	25	100%	6.3	26.8%	5.6%	21.2%	3.1%	3.20	3.24	+5.4
2017	33	MLB RAW	Arizona Diamondbacks	32	32	202	801	215	45	25	100%	6.3	26.8%	5.6%	21.2%	3.1%	3.20	3.25	+5.4
2018	34	MLB MLE	Arizona Diamondbacks	33	33	208	839	199	40	28	100%	6.3	23.7%	4.8%	19.0%	3.5%	3.21	3.64	+4.5
2018	34	MLB RAW	Arizona Diamondbacks	33	33	208	839	199	40	28	100%	6.3	23.7%	4.8%	19.0%	3.3%	3.21	3.51	+4.8
2019	35	MLB MLE	Houston Astros	33	33	209	810	187	28	21	100%	6.3	23.1%	3.5%	19.6%	2.7%	2.93	3.05	+6.2
2019	35	MLB RAW	Houston Astros	33	33	209	810	187	28	21	100%	6.3	23.1%	3.5%	19.6%	2.6%	2.93	3.02	+6.3
2020	36	MLB MLE	Houston Astros	12	12	67	273	67	9	6	100%	5.6	24.5%	3.3%	21.2%	2.3%	4.03	2.69	+2.3
2020	36	MLB RAW	Houston Astros	12	12	67	273	67	9	6	100%	5.6	24.5%	3.3%	21.2%	2.2%	4.03	2.67	+2.3
2021	37	MIX MLE	2 levels	31	30	173	704	123	36	30	97%	5.6	17.2%	5.2%	12.1%	4.4%	4.11	4.73	+1.3
2021	37	MIX RAW	2 levels	31	30	173	704	123	36	30	97%	5.6	17.5%	5.1%	12.4%	4.3%	4.11	4.56	+1.7
2022	38	MIX MLE	2 levels	28	28	149	627	81	28	15	100%	5.3	12.5%	4.6%	7.9%	2.6%	3.56	4.05	+2.4
2022	38	MIX RAW	2 levels	28	28	149	627	81	28	15	100%	5.3	12.9%	4.5%	8.5%	2.4%	3.56	3.89	+2.7
2023	39	MLB MLE	Kansas City Royals	30	27	142	593	97	23	25	90%	4.7	16.4%	3.9%	12.5%	4.6%	5.06	4.71	+1.1
2023	39	MLB RAW	Kansas City Royals	30	27	142	593	97	23	25	90%	4.7	16.4%	3.9%	12.5%	4.2%	5.06	4.51	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			586	541	3389	13877	2979	737	367	92%	5.8	21.5%	5.3%	16.2%	2.6%	3.49	3.40	+83.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		586	541	3389	13877	2979	737	367	92%	5.8	21.5%	5.3%	16.2%	2.6%	3.49	3.41	+82.8
/ 200 IP	—	RAW		35	32	200	819	176	43	22	92%	5.8	21.5%	5.3%	16.2%	2.6%	3.49	3.41	+4.9
Career	—	MLE		591	546	3411	13964	2993	741	374	92%	5.8	21.4%	5.3%	16.1%	2.7%	3.49	3.43	+83.3
/ 200 IP	—	MLE		35	32	200	819	175	43	22	92%	5.8	21.4%	5.3%	16.1%	2.7%	3.49	3.43	+4.9

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.

2022 AAAOmaha Storm Chasers · 12 IPFIP 3.10 → 3.46 (+0.36)K% 19.0% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.05%	—	×0.880	16.76%
BB% (unintentional) /BF	2.38%	—	×1.050	2.50%
HR / BF /BF	2.38%	÷0.984	×1.100	2.66%

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 97).

Result: FIP 3.10 → 3.46, 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 AAAReno Aces · 5 IPFIP 6.82 → 7.10 (+0.29)K% 20.0% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.880	17.60%
BB% (unintentional) /BF	8.00%	—	×1.050	8.40%
HR / BF /BF	8.00%	÷1.092	×1.100	8.06%

Result: FIP 6.82 → 7.10, 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).