Evan Sisk

P Pittsburgh Pirates

Age 30 LHP 6'2" / 214 lbs MLB peak 0.4 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	AAAKC	58	0	57	1.57	1.63	35.4%	11.4%	—	K 30.4% · BB 10.2% · FIP 1.83
2025	28	MIX2 levels	57	0	55	4.12	3.21	26.6%	9.9%	0.9	K 24.3% · BB 9.3% · FIP 3.52
2026	29	MIX2 levels	59	1	67	2.84	2.60	27.2%	11.4%	1.6	K 25.8% · BB 11.1% · FIP 2.73
2027PROJ	30	MLBPIT	36	0	38	3.79	3.94	24.8%	11.5%	0.3
2028PROJ85% MLB	31	MLBPIT	30	0	32	4.06	4.21	23.9%	11.6%	0.1
2029PROJ88% MLB	32	MLBPIT	23	0	24	4.31	4.47	23.1%	11.8%	0.0

Last 3 seasons WAR 2.4 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%67

xwOBA vs63

FB Velo10

CompsRaul Valdes (age 32) · Ryan O'Rourke (age 31) · Yuki Matsui (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 8896vR 104

ERA3.79

FIP3.94

K%24.8%

BB%11.5%

K-BB%13.3%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

Grades · Statcast · Contract

Scouting Grades

STUF6060

CTRL3030

CMD5050

K†6060

Statcast Percentiles

FB Velo

p1091.5

Whiff%

p6327.4%

p6725.4%

xwOBA vs

p630.299

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)
2018	21	ROK MLE	Johnson City Cardinals	20	1	31	122	35	11	1	5%	1.5	19.5%	11.3%	8.2%	1.1%	1.76	3.51	—
2018	21	ROK RAW	Johnson City Cardinals	20	1	31	122	35	11	1	5%	1.5	28.7%	9.0%	19.7%	0.8%	1.76	2.32	—
2019	22	A MLE	Peoria Chiefs	41	0	61	262	56	25	3	0%	1.5	15.8%	11.3%	4.6%	1.3%	3.25	3.93	—
2019	22	A RAW	Peoria Chiefs	41	0	61	262	56	25	3	0%	1.5	21.4%	9.5%	11.8%	1.1%	3.25	3.13	—
2021	24	MIX MLE	2 levels	39	0	53	258	69	34	4	0%	1.4	21.4%	14.7%	6.7%	1.7%	3.91	4.08	—
2021	24	MIX RAW	2 levels	39	0	53	258	69	34	4	0%	1.4	26.7%	13.2%	13.6%	1.6%	3.91	3.40	—
2022	25	MIX MLE	2 levels	50	0	63	255	76	28	2	0%	1.3	25.3%	11.7%	13.6%	1.0%	1.57	2.97	—
2022	25	MIX RAW	2 levels	50	0	63	255	76	28	2	0%	1.3	29.8%	11.0%	18.8%	0.8%	1.57	2.43	—
2023	26	AAA MLE	Omaha Storm Chasers	58	3	61	290	62	39	6	5%	1.1	18.4%	12.1%	6.3%	2.4%	6.34	4.41	—
2023	26	AAA RAW	Omaha Storm Chasers	58	3	61	290	62	39	6	5%	1.1	21.4%	13.4%	7.9%	2.1%	6.34	4.26	—
2024	27	AAA MLE	Omaha Storm Chasers	58	0	57	229	81	26	0	0%	1.0	30.4%	10.2%	20.2%	0.0%	1.57	1.83	—
2024	27	AAA MLE	Omaha Storm Chasers	58	0	57	229	81	26	0	0%	1.0	30.4%	10.2%	20.2%	0.0%	1.57	1.83	—
2024	27	AAA RAW	Omaha Storm Chasers	58	0	57	229	81	26	0	0%	1.0	35.4%	11.4%	24.0%	0.0%	1.57	1.63	—
2025	28	MIX MLE	2 levels	57	0	55	252	67	25	5	0%	1.0	24.3%	9.3%	14.9%	2.3%	4.12	3.52	+0.7
2025	28	MIX MLE	2 levels	57	0	55	252	67	25	5	0%	1.0	24.3%	9.3%	14.9%	2.3%	4.12	3.52	+0.7
2025	28	MIX RAW	2 levels	57	0	55	252	67	25	5	0%	1.0	26.6%	9.9%	16.7%	2.0%	4.12	3.21	+0.9
2026	29	MIX MLE	2 levels	59	1	67	290	79	33	2	2%	1.1	25.8%	11.1%	14.7%	0.7%	2.84	2.73	+1.5
2026	29	MIX MLE	2 levels	59	1	67	290	79	33	2	2%	1.1	25.8%	11.1%	14.7%	0.7%	2.84	2.73	+1.5
2026	29	MIX RAW	2 levels	59	1	67	290	79	33	2	2%	1.1	27.2%	11.4%	15.9%	0.7%	2.84	2.60	+1.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			60	0	62	277	75	35	3	0%	1.0	27.1%	12.6%	14.4%	1.1%	3.18	3.00	+1.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	PIT	36	0	38	160	40	18	3	0%	1.1	24.8%	11.5%	13.3%	2.0%	3.79	3.94	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	PIT	36	0	37	157	38	18	4	0%	1.0	23.9%	11.6%	12.3%	2.3%	4.06	4.21	+0.1
2029	32	MLB MLE	PIT	26	0	27	116	27	14	3	0%	1.1	23.1%	11.8%	11.2%	2.6%	4.31	4.47	+0.0
2028	31	MLB CTX	PIT	30	0	32	135	32	16	3	0%	1.1	23.9%	11.6%	12.3%	2.3%	4.06	4.21	+0.1
2029	32	MLB CTX	PIT	23	0	24	101	23	12	3	0%	1.0	23.1%	11.8%	11.2%	2.6%	4.31	4.47	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		113	0	118	512	130	63	9	0%	1.0	25.5%	12.2%	13.2%	1.7%	3.64	3.44	+1.6
/ 200 IP	—	RAW		192	0	200	868	220	107	15	0%	1.0	25.5%	12.2%	13.2%	1.7%	3.64	3.44	+2.6
Career	—	MLE		382	5	447	1958	444	225	27	1%	1.2	22.7%	11.5%	11.2%	1.4%	3.24	3.39	+1.3
/ 200 IP	—	MLE		171	2	200	875	199	101	12	1%	1.2	22.7%	11.5%	11.2%	1.4%	3.24	3.39	+2.1

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.

2026 AAAIndianapolis Indians · 22 IPFIP 1.56 → 1.82 (+0.26)K% 31.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.18%	—	×0.860	26.82%
BB% (unintentional) /BF	8.60%	—	×0.900	7.74%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 100).

Result: FIP 1.56 → 1.82, 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).

2025 AAAIndianapolis Indians · 37 IPFIP 3.42 → 3.86 (+0.44)K% 24.4% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.42%	—	×0.860	21.00%
BB% (unintentional) /BF	8.72%	—	×0.900	7.85%
HR / BF /BF	2.33%	÷0.915	×1.100	2.80%

Result: FIP 3.42 → 3.86, 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).

2024 AAAOmaha Storm Chasers · 57 IPFIP 1.55 → 1.83 (+0.27)K% 35.4% → 30.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.37%	—	×0.860	30.42%
BB% (unintentional) /BF	11.35%	—	×0.900	10.22%
HR / BF /BF	0.00%	÷1.111	×1.100	0.00%

Result: FIP 1.55 → 1.83, 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).

2023 AAAOmaha Storm Chasers · 61 IPFIP 4.13 → 4.41 (+0.27)K% 21.4% → 18.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.38%	—	×0.860	18.39%
BB% (unintentional) /BF	13.45%	—	×0.900	12.10%
HR / BF /BF	2.07%	÷0.942	×1.100	2.42%

Result: FIP 4.13 → 4.41, 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 AAASt. Paul Saints · 35 IPFIP 2.07 → 2.45 (+0.38)K% 29.9% → 26.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.86%	—	×0.880	26.28%
BB% (unintentional) /BF	11.81%	—	×1.050	12.40%
HR / BF /BF	0.00%	÷0.881	×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 76).

Result: FIP 2.07 → 2.45, 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 AAWichita Wind Surge · 28 IPFIP 2.83 → 3.65 (+0.82)K% 29.7% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.73%	—	×0.810	24.08%
BB% (unintentional) /BF	9.91%	—	×1.100	10.90%
HR / BF /BF	1.80%	÷0.985	×1.200	2.19%

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 97).

Result: FIP 2.83 → 3.65, 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).

2021 AAWichita Wind Surge · 40 IPFIP 3.70 → 4.39 (+0.68)K% 26.0% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.02%	—	×0.810	21.08%
BB% (unintentional) /BF	13.27%	—	×1.100	14.59%
HR / BF /BF	2.04%	÷1.104	×1.200	2.22%

Result: FIP 3.70 → 4.39, 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).

2021 A+Peoria Chiefs · 13 IPFIP 2.28 → 3.09 (+0.81)K% 29.0% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.03%	—	×0.770	22.35%
BB% (unintentional) /BF	12.90%	—	×1.150	14.84%
HR / BF /BF	0.00%	÷1.063	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 113).

Result: FIP 2.28 → 3.09, 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
Evan Sisk (OGILVIE)	—	—	3.94	24.8%	11.5%	2.0%	—	4.32	23.6%	11.9%	65	+0.38	—	—	—
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	80
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	79
Yuki Matsui L 2024 · 3.63 FIP	28	SU	3.63	26.8%	8.9%	3.0%	.242	4.25	23.9%	12.6%	140	+0.62	3.63	203	78
Daniel Rodriguez L 2015 · 2.89 FIP	30	SU	2.89	20.2%	9.4%	0.6%	.256	4.17	16.3%	5.9%	234	+1.28	2.89	391	77
Doug Slaten L 2010 · 3.22 FIP	30	SU	3.22	20.7%	9.8%	1.1%	.269	4.85	13.5%	3.1%	29	+1.63	3.22	139	76
Matt Thornton L 2007 · 3.13 FIP	30	SU	3.13	22.1%	8.0%	1.6%	.324	2.19	30.7%	24.4%	200	-0.94	1.71	663	76
Scott Rice L 2013 · 3.10 FIP	31	SU	3.10	19.2%	10.8%	0.5%	.277	3.85	22.1%	5.0%	53	+0.75	3.10	104	74
Brian Moran L 2019 · 3.40 FIP	30	SU	3.40	26.9%	10.0%	2.4%	.269	2.99	25.5%	18.5%	99	-0.41	1.80	421	74
Pedro Feliciano L 2007 · 3.07 FIP	30	SU	3.07	22.2%	9.8%	1.1%	.239	3.28	21.8%	14.5%	175	+0.21	2.69	378	74
Nick Hagadone L 2015 · 3.65 FIP	29	SU	3.65	22.6%	8.9%	2.4%	.329	3.74	22.6%	13.3%	33	+0.09	2.97	141	74
Mike Dunn L 2015 · 3.75 FIP	30	SU	3.75	27.7%	11.9%	2.7%	.294	4.21	22.5%	10.9%	110	+0.46	2.82	432	73
Buddy Baumann L 2018 · 4.87 FIP	30	SU	4.87	20.5%	11.9%	3.6%	.258	—	—	—	—	—	2.92	155	73
Clay Rapada L 2011 · 4.34 FIP	30	SU	4.34	26.1%	10.1%	3.9%	.268	3.00	24.5%	14.2%	38	-1.34	3.00	120	73
Jason Christiansen L 2000 · 3.08 FIP	30	SU	3.08	25.2%	10.5%	1.4%	.288	4.28	20.1%	10.6%	62	+1.20	2.22	429	72
Tony Sipp L 2013 · 4.38 FIP	30	SU	4.38	24.0%	11.4%	3.4%	.271	3.74	27.3%	19.7%	149	-0.64	2.22	504	72
Dario Alvarez L 2018 · 3.47 FIP	29	SU	3.47	20.7%	12.4%	1.0%	.250	—	—	—	—	—	3.47	160	72
Zach Phillips L 2017 · 2.85 FIP	30	SU	2.85	19.2%	8.6%	0.5%	.301	3.67	19.1%	10.6%	36	+0.82	2.33	202	72
Tommy Layne L 2015 · 3.61 FIP	30	SU	3.61	21.7%	12.1%	1.5%	.284	3.34	20.2%	11.0%	97	-0.27	0.55	218	72
Scott Sauerbeck L 2002 · 2.79 FIP	30	SU	2.79	27.5%	9.0%	1.6%	.291	4.27	20.4%	8.0%	92	+1.48	2.79	386	71
Heriberto Ruelas L 2015 · 2.95 FIP	33	SU	2.95	19.1%	7.3%	1.0%	.352	3.57	16.2%	8.5%	89	+0.62	2.95	117	71

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	0.9	44	25.2%	12.0%	0.71	3.71
Arodys Vizcaíno ('22)	1.0	50	25.7%	11.3%	0.85	3.10
Chad Fox ('09)	1.1	57	25.8%	13.2%	0.87	3.79
Chaz Roe ('21)	1.1	43	26.4%	11.1%	0.79	3.89
Ray Searage ('81-'90, 4 WAR*)	1.4	41	21.0%*	10.8%*	0.84*	3.70*
Dave Geisel ('78-'85, 2 WAR*)	1.0	42	23.5%*	10.6%*	0.84*	4.12*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*