Jeff Samardzija

PosP

B/TR/R

Born1985-01-23

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

MLBSPLAST SEASON 2020

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2018	33	MIX4 levels	16	16	68	6.19	5.10	18.1%	10.0%	0.2	K 17.0% · BB 10.1% · FIP 5.29
2019	34	MLBSF	32	32	181	3.52	4.31	18.9%	6.1%	2.3
2020	35	MLBSF	4	4	17	9.72	8.56	7.8%	5.2%	-0.6
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

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2016	31	MLBSF	69	.156/.169/.234	0	0	1	-0.7
2017	32	MLBSF	67	.094/.094/.172	1	0	-37	-1.0
2019	34	MLBSF	56	.120/.120/.160	0	0	-39	-0.8
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 -2.5

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)
2008	23	MLB MLE	Chicago Cubs	26	0	28	124	25	13	0	0%	1.1	20.2%	10.5%	9.7%	0.0%	2.28	2.73	+0.6
2008	23	MLB RAW	Chicago Cubs	26	0	28	124	25	13	0	0%	1.1	20.2%	10.5%	9.7%	0.0%	2.28	2.70	+0.6
2009	24	MLB MLE	Chicago Cubs	20	2	35	161	21	14	7	10%	1.7	13.0%	8.7%	4.3%	4.3%	7.53	5.49	-0.4
2009	24	MLB RAW	Chicago Cubs	20	2	35	161	21	14	7	10%	1.7	13.0%	8.7%	4.3%	4.3%	7.53	5.72	-0.5
2010	25	MLB MLE	Chicago Cubs	7	3	19	100	9	19	4	43%	2.8	9.0%	19.0%	-10.0%	4.2%	8.38	7.03	-0.5
2010	25	MLB RAW	Chicago Cubs	7	3	19	100	9	19	4	43%	2.8	9.0%	19.0%	-10.0%	4.0%	8.38	7.81	-0.7
2011	26	MLB MLE	Chicago Cubs	75	0	88	380	87	47	5	0%	1.2	22.9%	12.4%	10.5%	1.4%	2.97	3.48	+1.1
2011	26	MLB RAW	Chicago Cubs	75	0	88	380	87	47	5	0%	1.2	22.9%	12.4%	10.5%	1.3%	2.97	3.46	+1.1
2012	27	MLB MLE	Chicago Cubs	28	28	175	723	180	54	20	100%	6.2	24.9%	7.5%	17.4%	2.9%	3.81	3.52	+4.0
2012	27	MLB RAW	Chicago Cubs	28	28	175	723	180	54	20	100%	6.2	24.9%	7.5%	17.4%	2.8%	3.81	3.45	+4.2
2013	28	MLB MLE	Chicago Cubs	33	33	214	914	214	75	25	100%	6.5	23.4%	8.2%	15.2%	2.8%	4.34	3.72	+4.3
2013	28	MLB RAW	Chicago Cubs	33	33	214	914	214	75	25	100%	6.5	23.4%	8.2%	15.2%	2.7%	4.34	3.67	+4.5
2014	29	MLB MLE	Oakland Athletics	33	33	220	879	202	40	20	100%	6.7	23.0%	4.6%	18.4%	2.5%	2.99	3.11	+6.3
2014	29	MLB RAW	Oakland Athletics	33	33	220	879	202	40	20	100%	6.7	23.0%	4.6%	18.4%	2.3%	2.99	2.99	+6.7
2015	30	MLB MLE	Chicago White Sox	32	32	214	910	163	49	29	100%	6.7	17.9%	5.4%	12.5%	3.1%	4.96	3.99	+3.6
2015	30	MLB RAW	Chicago White Sox	32	32	214	910	163	49	29	100%	6.7	17.9%	5.4%	12.5%	3.2%	4.96	4.03	+3.5
2016	31	MLB MLE	San Francisco Giants	32	32	203	829	167	50	24	100%	6.4	20.1%	6.0%	14.1%	3.1%	3.81	3.88	+3.7
2016	31	MLB RAW	San Francisco Giants	32	32	203	829	167	50	24	100%	6.4	20.1%	6.0%	14.1%	2.9%	3.81	3.73	+4.1
2017	32	MLB MLE	San Francisco Giants	32	32	208	847	205	31	30	100%	6.5	24.2%	3.7%	20.5%	3.8%	4.42	3.62	+4.5
2017	32	MLB RAW	San Francisco Giants	32	32	208	847	205	31	30	100%	6.5	24.2%	3.7%	20.5%	3.5%	4.42	3.45	+5.0
2018	33	MIX MLE	4 levels	16	16	68	310	56	31	12	100%	4.3	17.0%	10.1%	6.9%	4.3%	6.19	5.29	+0.1
2018	33	MIX RAW	4 levels	16	16	68	310	56	31	12	100%	4.3	18.1%	10.0%	8.1%	3.9%	6.19	5.10	+0.2
2019	34	MLB MLE	San Francisco Giants	32	32	181	740	140	45	28	100%	5.7	18.9%	6.1%	12.8%	4.1%	3.52	4.52	+1.9
2019	34	MLB RAW	San Francisco Giants	32	32	181	740	140	45	28	100%	5.7	18.9%	6.1%	12.8%	3.8%	3.52	4.31	+2.3
2020	35	MLB MLE	San Francisco Giants	4	4	17	77	6	4	7	100%	4.2	7.8%	5.2%	2.6%	9.8%	9.72	8.49	-0.6
2020	35	MLB RAW	San Francisco Giants	4	4	17	77	6	4	7	100%	4.2	7.8%	5.2%	2.6%	9.1%	9.72	8.56	-0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			364	241	1645	6891	1449	466	205	66%	4.5	21.0%	6.8%	14.3%	3.0%	4.15	3.81	+31.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		364	241	1645	6891	1449	466	205	66%	4.5	21.0%	6.8%	14.3%	3.0%	4.15	3.81	+31.3
/ 200 IP	—	RAW		44	29	200	838	176	57	25	66%	4.5	21.0%	6.8%	14.3%	3.0%	4.15	3.81	+3.8
Career	—	MLE		370	247	1669	6994	1472	472	223	67%	4.5	21.0%	6.8%	14.3%	3.2%	4.18	3.93	+31.4
/ 200 IP	—	MLE		44	30	200	838	176	57	27	67%	4.5	21.0%	6.8%	14.3%	3.2%	4.18	3.93	+3.8

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.

2018 AAASacramento River Cats · 17 IPFIP 5.07 → 5.76 (+0.69)K% 27.4% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.40%	—	×0.880	24.11%
BB% (unintentional) /BF	4.11%	—	×1.050	4.32%
HR / BF /BF	6.85%	÷0.998	×1.100	7.55%

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 100).

Result: FIP 5.07 → 5.76, 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).