Brooks Kriske

P Las Vegas Aviators

Age 33 RHP 6'3" / 205 lbs AAA peak 0.2 · 2027 ILInjured 60-Day (D60)

Overview

AAARPIL-6040-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	30	AAABAL	50	0	58	3.39	3.91	34.2%	14.8%	—	K 29.4% · BB 13.3% · FIP 4.35
2025	31	MIX2 levels	42	0	53	4.78	2.99	31.2%	10.7%	1.0	K 27.9% · BB 10.2% · FIP 3.09
2026	32	MIX2 levels	12	1	19	1.93	2.83	34.6%	15.4%	0.4	K 32.1% · BB 14.8% · FIP 3.16
2027PROJ	33	MLBOAK	22	0	23	4.54	4.57	26.9%	14.5%	-0.0
2028PROJ71% MLB	34	MLBOAK	26	0	27	4.72	4.85	25.6%	14.5%	-0.1
2029PROJ67% MLB	35	MLBOAK	18	0	19	4.96	5.15	24.5%	14.6%	-0.1

Last 3 seasons WAR 1.4 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

K%38

FB Velo34

xwOBA vs34

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsHirokazu Sawamura (age 33) · Dustin Molleken (age 32) · Jon Edwards (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120112vR 104

ERA4.54

FIP4.57

K%26.9%

BB%14.5%

K-BB%12.4%

Proj IP31

Value2027 · WAR

Runs saved vs league avg · 31 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL2525

CMD3535

K†6060

Statcast Percentiles

FB Velo

p3493.4

Whiff%

p3823.6%

p3820.5%

xwOBA vs

p340.330

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	24	A MLE	Charleston RiverDogs	2	0	4	16	6	1	0	0%	2.0	37.5%	6.2%	31.2%	0.0%	4.50	0.73	—
2018	24	A RAW	Charleston RiverDogs	2	0	4	16	6	1	0	0%	2.0	37.5%	6.2%	31.2%	0.0%	4.50	0.85	—
2019	25	MIX MLE	2 levels	43	0	61	242	80	25	3	0%	1.4	26.1%	12.2%	13.9%	1.9%	2.08	3.47	—
2019	25	MIX RAW	2 levels	43	0	61	242	80	25	3	0%	1.4	33.1%	10.3%	22.7%	1.2%	2.08	2.34	—
2020	26	MLB MLE	New York Yankees	4	0	4	22	8	7	1	0%	0.9	36.4%	31.8%	4.5%	4.5%	14.73	6.55	-0.1
2020	26	MLB RAW	New York Yankees	4	0	4	22	8	7	1	0%	0.9	36.4%	31.8%	4.5%	4.5%	14.73	8.01	-0.1
2021	27	MIX MLE	2 levels	37	0	41	171	54	20	9	0%	1.1	28.6%	12.1%	16.5%	5.0%	6.64	4.95	-0.2
2021	27	MIX RAW	2 levels	37	0	41	171	54	20	9	0%	1.1	31.6%	11.7%	19.9%	5.3%	6.64	4.80	-0.1
2023	29	MIX MLE	2 levels	31	0	36	160	55	19	7	0%	1.2	31.2%	10.0%	21.2%	4.3%	5.25	4.10	+0.2
2023	29	MIX RAW	2 levels	31	0	36	160	55	19	7	0%	1.2	34.4%	11.9%	22.5%	4.4%	5.25	4.16	+0.2
2024	30	AAA MLE	Norfolk Tides	50	0	58	237	81	35	8	0%	1.2	29.4%	13.3%	16.1%	3.7%	3.39	4.35	—
2024	30	AAA MLE	Norfolk Tides	50	0	58	237	81	35	8	0%	1.2	29.4%	13.3%	16.1%	3.7%	3.39	4.35	—
2024	30	AAA RAW	Norfolk Tides	50	0	58	237	81	35	8	0%	1.2	34.2%	14.8%	19.4%	3.4%	3.39	3.91	—
2025	31	MIX MLE	2 levels	42	0	53	234	73	25	5	0%	1.3	27.9%	10.2%	17.7%	1.9%	4.78	3.09	+0.9
2025	31	MIX MLE	2 levels	42	0	53	234	73	25	5	0%	1.3	27.9%	10.2%	17.7%	1.9%	4.78	3.09	+0.9
2025	31	MIX RAW	2 levels	42	0	53	234	73	25	5	0%	1.3	31.2%	10.7%	20.5%	2.1%	4.78	2.99	+1.0
2026	32	MIX MLE	2 levels	12	1	19	78	27	12	1	8%	1.6	32.1%	14.8%	17.3%	1.6%	1.93	3.16	+0.3
2026	32	MIX MLE	2 levels	12	1	19	78	27	12	1	8%	1.6	32.1%	14.8%	17.3%	1.6%	1.93	3.16	+0.3
2026	32	MIX RAW	2 levels	12	1	19	78	27	12	1	8%	1.6	34.6%	15.4%	19.2%	1.3%	1.93	2.83	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			38	0	42	202	45	32	11	0%	1.1	22.3%	15.8%	6.4%	5.4%	8.93	6.62	-1.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	OAK	22	0	23	97	26	14	3	0%	1.0	26.9%	14.5%	12.4%	2.8%	4.54	4.57	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	OAK	36	0	38	161	41	23	5	0%	1.1	25.6%	14.5%	11.2%	3.1%	4.72	4.85	-0.1
2029	35	MLB MLE	OAK	28	0	29	123	30	18	4	0%	1.0	24.5%	14.6%	9.9%	3.4%	4.96	5.15	-0.2
2028	34	MLB CTX	OAK	26	0	27	114	29	16	4	0%	1.0	25.6%	14.5%	11.2%	3.1%	4.72	4.85	-0.1
2029	35	MLB CTX	OAK	18	0	19	80	20	12	3	0%	1.1	24.5%	14.6%	9.9%	3.4%	4.96	5.15	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		82	0	89	398	94	61	17	0%	1.1	23.7%	15.2%	8.5%	4.4%	6.78	5.42	-0.9
/ 200 IP	—	RAW		185	0	200	897	212	137	38	0%	1.1	23.7%	15.2%	8.5%	4.4%	6.78	5.42	-2.0
Career	—	MLE		221	1	275	1160	336	141	36	0%	1.2	28.9%	12.2%	16.8%	3.1%	4.16	3.88	-1.4
/ 200 IP	—	MLE		161	1	200	845	245	103	26	0%	1.2	28.9%	12.2%	16.8%	3.1%	4.16	3.88	-2.5

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.

2026 AAALas Vegas Aviators · 16 IPFIP 2.85 → 3.16 (+0.32)K% 37.3% → 32.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.31%	—	×0.860	32.09%
BB% (unintentional) /BF	16.42%	—	×0.900	14.78%
HR / BF /BF	1.49%	÷1.000	×1.100	1.64%

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 2.85 → 3.16, 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 AAASt. Paul Saints · 35 IPFIP 2.38 → 2.54 (+0.17)K% 37.7% → 32.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.67%	—	×0.860	32.40%
BB% (unintentional) /BF	7.53%	—	×0.900	6.78%
HR / BF /BF	2.74%	÷1.253	×1.100	2.41%

Result: FIP 2.38 → 2.54, 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 AAANorfolk Tides · 58 IPFIP 3.94 → 4.35 (+0.41)K% 34.2% → 29.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.18%	—	×0.860	29.39%
BB% (unintentional) /BF	14.77%	—	×0.900	13.29%
HR / BF /BF	3.38%	÷0.996	×1.100	3.73%

Result: FIP 3.94 → 4.35, 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 · 29 IPFIP 3.48 → 4.10 (+0.63)K% 36.3% → 31.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.30%	—	×0.860	31.21%
BB% (unintentional) /BF	11.11%	—	×0.900	10.00%
HR / BF /BF	3.70%	÷0.942	×1.100	4.33%

Result: FIP 3.48 → 4.10, 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).

2021 AAANorfolk Tides · 29 IPFIP 2.44 → 2.98 (+0.54)K% 37.4% → 32.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.39%	—	×0.880	32.90%
BB% (unintentional) /BF	12.17%	—	×1.050	12.78%
HR / BF /BF	1.74%	÷1.009	×1.100	1.90%

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 102).

Result: FIP 2.44 → 2.98, 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).

2019 AATrenton Thunder · 49 IPFIP 2.61 → 3.47 (+0.86)K% 32.2% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.16%	—	×0.810	26.05%
BB% (unintentional) /BF	11.06%	—	×1.100	12.16%
HR / BF /BF	1.51%	÷0.960	×1.200	1.88%

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 92).

Result: FIP 2.61 → 3.47, 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).

2019 A+Tampa Tarpons · 12 IPFIP 0.84 → 1.70 (+0.86)K% 37.2% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.21%	—	×0.770	28.65%
BB% (unintentional) /BF	6.98%	—	×1.150	8.02%
HR / BF /BF	0.00%	÷0.960	×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 92).

Result: FIP 0.84 → 1.70, 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
Brooks Kriske (OGILVIE)	—	—	4.57	26.9%	14.5%	2.8%	—	4.98	25.1%	10.6%	67	+0.41	—	—	—
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	75
Dustin Molleken R 2017 · 3.38 FIP	32	SU	3.38	24.3%	12.4%	1.4%	.311	—	—	—	—	—	3.38	129	72
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	72
Jason Bulger R 2010 · 4.36 FIP	31	SU	4.36	22.5%	13.5%	2.6%	.324	—	—	—	—	—	3.78	106	71
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	71
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	71
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	70
Huascar Brazobán R 2023 · 3.52 FIP	33	SU	3.52	25.3%	11.3%	2.1%	.304	3.54	21.9%	11.8%	195	+0.02	3.08	370	69
Chad Fox R 2003 · 3.70 FIP	32	SU	3.70	23.2%	13.6%	1.5%	.262	—	—	—	—	—	2.82	194	68
Leo Rosales R 2015 · 3.99 FIP	34	SU	3.99	18.1%	10.8%	1.9%	.261	4.24	7.8%	-0.4%	22	+0.25	3.85	130	67
Steve Delabar R 2016 · 4.62 FIP	33	SU	4.62	20.4%	15.6%	2.3%	.308	—	—	—	—	—	2.43	229	66
Fernando Rodriguez Jr. R 2016 · 3.61 FIP	32	SU	3.61	22.7%	10.4%	2.0%	.255	4.41	24.1%	13.8%	97	+0.80	3.34	335	65
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	287	65
Rafael Dolis R 2021 · 3.45 FIP	33	SU	3.45	24.6%	15.0%	1.0%	.309	3.61	19.9%	8.0%	29	+0.16	2.80	200	65
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	65
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	63
Jumbo Diaz R 2017 · 4.17 FIP	33	SU	4.17	20.0%	9.7%	2.8%	.302	2.90	24.2%	15.4%	98	-1.27	2.80	319	62
Jay Jackson R 2021 · 4.14 FIP	33	SU	4.14	31.1%	13.3%	3.6%	.255	4.48	26.4%	20.6%	105	+0.34	2.36	261	62
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	62
Ryan Brasier R 2021 · 4.85 FIP	33	SU	4.85	18.0%	8.0%	4.1%	.286	3.16	23.7%	17.9%	150	-1.69	2.31	426	61

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	0.7	48	24.6%	15.1%	1.49	5.96
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Bill Laxton ('70-'77, -3 WAR*)	1.2	61	26.1%*	14.4%*	1.87*	5.39*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*