Miles Mikolas

P Washington Nationals

Age 38 RHP 6'4" / 230 lbs MLB

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR
2024	35	MLBSTL	32	32	172	5.35	4.08	16.9%	3.5%	2.7
2025	36	MLBSTL	31	31	156	4.84	4.92	14.9%	5.4%	0.9
2026	37	MLBWSH	25	11	116	5.82	5.72	11.6%	4.6%	-1.5
2027PROJ	38	MLBWSH	11	11	69	5.32	5.52	13.3%	5.2%	-0.1
2028PROJ	39	MLBWSH	5	5	30	5.70	5.96	12.2%	5.9%	-0.2
2029PROJ	40	MLBWSH	3	3	17	5.95	6.12	13.0%	5.8%	-0.1

Last 3 seasons WAR 2.0 · 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

FB Velo32

xwOBA vs15

K%10

Form7.07 ERA (proj 5.32) · K 9.5% (proj 13.3%) · BB 3.2% (proj 5.2%) · last 90d · 14 IP through Oct 27

CompsPablo Ortega (age 38) · Jose Oyervides (age 37) · Ivan Maldonado (age 36)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137128vR 120

ERA5.32

FIP5.52

K%13.3%

BB%5.2%

K-BB%8.1%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p3293.2

Whiff%

p1014.5%

p1011.6%

xwOBA vs

p150.354

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)
2012	23	MLB MLE	San Diego Padres	25	0	32	144	23	15	4	0%	1.3	16.0%	10.4%	5.6%	2.7%	3.62	4.56	-0.0
2012	23	MLB RAW	San Diego Padres	25	0	32	144	23	15	4	0%	1.3	16.0%	10.4%	5.6%	2.8%	3.62	4.68	-0.0
2013	24	MLB MLE	San Diego Padres	2	0	2	7	1	1	0	0%	0.8	14.3%	14.3%	0.0%	0.0%	0.00	3.70	+0.0
2013	24	MLB RAW	San Diego Padres	2	0	2	7	1	1	0	0%	0.8	14.3%	14.3%	0.0%	0.0%	0.00	3.70	+0.0
2014	25	MLB MLE	Texas Rangers	10	10	57	255	38	16	8	100%	5.7	14.9%	6.3%	8.6%	3.0%	6.44	4.29	+0.7
2014	25	MLB RAW	Texas Rangers	10	10	57	255	38	16	8	100%	5.7	14.9%	6.3%	8.6%	3.1%	6.44	4.43	+0.7
2018	29	MLB MLE	St. Louis Cardinals	32	32	201	808	146	25	16	100%	6.3	18.1%	3.1%	15.0%	2.1%	2.83	3.13	+5.7
2018	29	MLB RAW	St. Louis Cardinals	32	32	201	808	146	25	16	100%	6.3	18.1%	3.1%	15.0%	2.0%	2.83	3.06	+5.9
2019	30	MLB MLE	St. Louis Cardinals	32	32	184	764	144	31	27	100%	5.8	18.8%	4.1%	14.8%	3.8%	4.16	4.11	+2.8
2019	30	MLB RAW	St. Louis Cardinals	32	32	184	764	144	31	27	100%	5.8	18.8%	4.1%	14.8%	3.5%	4.16	3.95	+3.2
2021	32	MIX MLE	4 levels	17	17	81	328	59	17	11	100%	4.8	16.4%	5.5%	10.9%	3.4%	4.09	4.27	+1.1
2021	32	MIX RAW	4 levels	17	17	81	328	59	17	11	100%	4.8	18.0%	5.2%	12.8%	3.4%	4.09	4.03	+1.3
2022	33	MLB MLE	St. Louis Cardinals	33	32	202	805	153	39	25	97%	6.1	19.0%	4.8%	14.2%	3.3%	3.29	3.94	+3.5
2022	33	MLB RAW	St. Louis Cardinals	33	32	202	805	153	39	25	97%	6.1	19.0%	4.8%	14.2%	3.1%	3.29	3.77	+4.0
2023	34	MLB MLE	St. Louis Cardinals	35	35	201	860	137	39	26	100%	5.8	15.9%	4.5%	11.4%	3.3%	4.78	4.11	+3.1
2023	34	MLB RAW	St. Louis Cardinals	35	35	201	860	137	39	26	100%	5.8	15.9%	4.5%	11.4%	3.0%	4.78	4.00	+3.4
2024	35	MLB MLE	St. Louis Cardinals	32	32	172	720	122	25	26	100%	5.4	16.9%	3.5%	13.5%	3.9%	5.35	4.24	+2.3
2024	35	MLB MLE	St. Louis Cardinals	32	32	172	720	122	25	26	100%	5.4	16.9%	3.5%	13.5%	3.9%	5.35	4.24	+2.3
2024	35	MLB RAW	St. Louis Cardinals	32	32	172	720	122	25	26	100%	5.4	16.9%	3.5%	13.5%	3.6%	5.35	4.08	+2.7
2025	36	MLB MLE	St. Louis Cardinals	31	31	156	669	100	36	29	100%	5.0	14.9%	5.4%	9.6%	4.7%	4.84	5.08	+0.6
2025	36	MLB MLE	St. Louis Cardinals	31	31	156	669	100	36	29	100%	5.0	14.9%	5.4%	9.6%	4.7%	4.84	5.08	+0.6
2025	36	MLB RAW	St. Louis Cardinals	31	31	156	669	100	36	29	100%	5.0	14.9%	5.4%	9.6%	4.3%	4.84	4.92	+0.9
2026	37	MLB MLE	Washington Nationals	25	11	116	498	58	23	27	44%	4.6	11.6%	4.6%	7.0%	5.4%	5.82	5.68	-1.5
2026	37	MLB MLE	Washington Nationals	25	11	116	498	58	23	27	44%	4.6	11.6%	4.6%	7.0%	5.4%	5.82	5.68	-1.5
2026	37	MLB RAW	Washington Nationals	25	11	116	498	58	23	27	44%	4.6	11.6%	4.6%	7.0%	5.4%	5.82	5.72	-1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			266	224	1368	5716	953	261	194	84%	5.1	16.7%	4.6%	12.1%	3.4%	4.37	4.12	+20.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	38	MLB	WSH	11	11	69	291	39	15	13	100%	6.3	13.3%	5.2%	8.1%	4.6%	5.32	5.52	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	39	MLB MLE	WSH	5	5	30	127	15	8	6	100%	6.0	12.2%	5.9%	6.2%	5.0%	5.70	5.96	-0.2
2029	40	MLB MLE	WSH	3	3	17	71	9	4	4	100%	5.6	13.0%	5.8%	7.2%	5.5%	5.95	6.12	-0.1
2028	39	MLB CTX	WSH	5	5	30	127	15	8	6	100%	6.0	12.2%	5.9%	6.2%	5.0%	5.70	5.96	-0.2
2029	40	MLB CTX	WSH	3	3	17	72	9	4	4	100%	5.7	13.0%	5.8%	7.2%	5.5%	5.95	6.12	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		274	232	1415	5914	978	273	204	85%	5.2	16.5%	4.6%	11.9%	3.5%	4.42	4.18	+20.3
/ 200 IP	—	RAW		39	33	200	836	138	39	29	85%	5.2	16.5%	4.6%	11.9%	3.5%	4.42	4.18	+2.9
Career	—	MLE		274	232	1405	5858	976	268	210	85%	5.1	16.7%	4.6%	12.1%	3.6%	4.36	4.24	+20.3
/ 200 IP	—	MLE		39	33	200	834	139	38	30	85%	5.1	16.7%	4.6%	12.1%	3.6%	4.36	4.24	+2.9

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.

2021 AAAMemphis Redbirds · 19 IPFIP 3.62 → 4.07 (+0.45)K% 17.8% → 15.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.81%	—	×0.880	15.67%
BB% (unintentional) /BF	4.11%	—	×1.050	4.32%
HR / BF /BF	2.74%	÷0.949	×1.100	3.18%

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 90).

Result: FIP 3.62 → 4.07, 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 AASpringfield Cardinals · 10 IPFIP 6.44 → 7.60 (+1.16)K% 16.3% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.28%	—	×0.810	13.19%
BB% (unintentional) /BF	6.98%	—	×1.100	7.67%
HR / BF /BF	6.98%	÷0.990	×1.200	8.46%

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 98).

Result: FIP 6.44 → 7.60, 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 · 7 IPFIP 0.50 → 1.10 (+0.60)K% 30.8% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.770	23.69%
BB% (unintentional) /BF	0.00%	—	×1.150	0.00%
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 0.50 → 1.10, 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).

	Profile at Match Age	Next 3 Yrs	Career
Miles Mikolas (OGILVIE)	—	—	—	—	—	4.6%	—	6.02	12.5%	6.6%	47	+0.50	—	—	—
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	44
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	41
Ivan Maldonado R 2016 · 5.41 FIP	36	SP	5.41	6.4%	9.7%	3.0%	.325	—	—	—	—	—	4.60	172	38
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	27
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	21
Jorge Castillo L 2019 · 4.91 FIP	37	SP	4.91	19.6%	8.1%	4.5%	.316	—	—	—	—	—	4.50	408	20
Oscar Rivera L 2017 · 5.80 FIP	36	SP	5.80	9.8%	7.8%	4.6%	.252	—	—	—	—	—	3.68	237	16

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	7.4	114	16.4%	4.8%	1.36	4.46
Phil Hughes ('18)	6.5	108	18.9%	5.7%	1.33	4.52
Vern Ruhle ('74-'86, 9 WAR*)	7.1	109	14.2%*	5.8%*	1.18*	4.36*
Paul Byrd ('09)	8.5	121	12.7%	5.5%	1.31	4.41
Joe Blanton ('17)	8.8	147	17.0%	6.2%	1.14	4.38
Dick Bosman ('66-'76, 10 WAR*)	8.0	145	15.7%*	6.0%*	1.24*	4.56*
Atlee Hammaker ('81-'95, 9 WAR*)	5.4	120	18.1%*	6.4%*	1.18*	4.37*

			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
Miles Mikolas (OGILVIE)	—	—	—	—	—	4.6%	—	6.02	12.5%	6.6%	47	+0.50	—	—	—
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	44
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	41
Ivan Maldonado R 2016 · 5.41 FIP	36	SP	5.41	6.4%	9.7%	3.0%	.325	—	—	—	—	—	4.60	172	38
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	27
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	21
Jorge Castillo L 2019 · 4.91 FIP	37	SP	4.91	19.6%	8.1%	4.5%	.316	—	—	—	—	—	4.50	408	20
Oscar Rivera L 2017 · 5.80 FIP	36	SP	5.80	9.8%	7.8%	4.6%	.252	—	—	—	—	—	3.68	237	16

Miles Mikolas

Contract

Career Stats + Projections

How the minor-league lines were translated

Career Path Comps

Career Comps