Wyatt Mills — OGILVIE

Wyatt Mills P Oklahoma City Comets

Age 31 RHP 6'4" / 220 lbs AAA ILReassigned to Minors (RM)

2026 ROS PROJECTION44 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 124116vR 108

ERA4.90

FIP4.78

K%18.8%

BB%12.3%

K-BB%6.5%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 50 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL4040

CMD4040

K†4040

Statcast Percentiles

FB Velo

p1992.3

Whiff%

p6728.0%

p3720.3%

xwOBA vs

p390.325

FB+2.1

SL-1.0

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 industry-standard fWAR.

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 + 2026 so far)
2017	22	A MLE	Clinton LumberKings	11	0	13	52	18	6	0	0%	1.2	25.6%	13.6%	12.0%	0.0%	1.35	2.66	—
2017	22	A RAW	Clinton LumberKings	11	0	13	52	18	6	0	0%	1.2	34.6%	11.5%	23.1%	0.0%	1.35	1.75	—
2018	23	MIX MLE	2 levels	44	0	53	220	59	12	1	0%	1.2	20.8%	6.2%	14.6%	0.6%	3.57	2.46	—
2018	23	MIX RAW	2 levels	44	0	53	220	59	12	1	0%	1.2	26.8%	5.5%	21.4%	0.5%	3.57	1.80	—
2019	24	AA MLE	Arkansas Travelers	41	0	53	217	66	16	2	0%	1.3	24.6%	8.1%	16.5%	1.4%	4.27	2.82	—
2019	24	AA RAW	Arkansas Travelers	41	0	53	217	66	16	2	0%	1.3	30.4%	7.4%	23.0%	0.9%	4.27	2.00	—
2021	26	MIX MLE	2 levels	34	1	41	178	62	13	3	3%	1.2	31.4%	7.5%	23.9%	1.9%	5.23	2.41	+1.1
2021	26	MIX RAW	2 levels	34	1	41	178	62	13	3	3%	1.2	34.8%	7.3%	27.5%	1.7%	5.23	1.99	+1.3
2022	27	MIX MLE	2 levels	56	0	63	262	66	26	4	0%	1.1	23.4%	10.2%	13.1%	1.7%	3.29	3.35	+0.9
2022	27	MIX RAW	2 levels	56	0	63	262	66	26	4	0%	1.1	25.2%	9.9%	15.3%	1.5%	3.29	3.07	+1.1
2025	30	AAA MLE	Worcester Red Sox	32	7	52	226	49	29	8	22%	1.6	18.0%	11.5%	6.4%	4.0%	3.12	5.21	—
2025	30	AAA MLE	Worcester Red Sox	32	7	52	226	49	29	8	22%	1.6	18.0%	11.5%	6.4%	4.0%	3.12	5.21	—
2025	30	AAA RAW	Worcester Red Sox	32	7	52	226	49	29	8	22%	1.6	21.7%	12.8%	8.8%	3.5%	3.12	4.89	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			44	0	48	228	42	26	2	0%	1.1	18.4%	11.4%	7.0%	0.9%	6.14	3.51	+0.6
▸ 2026 season
YTD	31	MLB MLE	Los Angeles Dodgers	39	0	44	193	57	26	0	0%	1.1	27.5%	10.3%	17.2%	0.0%	2.89	2.09	—
YTD	31	MLB MLE	Los Angeles Dodgers	39	0	44	193	57	26	0	0%	1.1	27.5%	10.3%	17.2%	0.0%	2.89	2.09	—
▸ 2026 season — so far · projected rest · full
2026	31	AAA RAW	LAD	33	0	37	157	52	18	0	0%	1.1	33.1%	11.5%	21.7%	0.0%	2.41	1.76	—
2026	31	MLB RAW	LAD	6	0	6	36	5	8	0	0%	1.1	13.9%	22.2%	-8.3%	0.0%	5.68	4.74	—
SO FAR	31	MLB RAW	LAD	6	0	6	36	5	8	0	0%	1.1	13.9%	22.2%	-8.3%	0.0%	5.68	4.74	—
ROS	31	MLB MLE	LAD	6	0	6	25	5	3	1	0%	1.0	18.8%	12.3%	6.5%	3.1%	4.90	4.78	-0.0
ROS	31	MLB CTX	LAD	6	0	6	25	5	3	1	0%	1.0	18.8%	12.3%	6.5%	3.1%	4.90	4.78	-0.0
2026 TOT	31	MLB MLE	LAD	—	—	50	218	62	29	1	—	—	28.3%	13.3%	15.0%	0.4%	3.13	2.41	+1.4
FULL	31	MLB A+C	LAD	—	—	12	52	62	29	1	—	—	119.4%	56.3%	63.1%	1.5%	12.66	0.97	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	LAD	57	0	60	254	43	34	8	0%	1.1	17.1%	13.4%	3.7%	3.2%	5.44	5.49	-0.6
2028	33	MLB MLE	LAD	53	0	55	233	39	31	8	0%	1.0	16.7%	13.5%	3.2%	3.5%	5.55	5.68	-0.7
2027	32	MLB CTX	LAD	54	0	57	241	41	32	8	0%	1.1	17.1%	13.4%	3.7%	3.2%	5.44	5.49	-0.6
2028	33	MLB CTX	LAD	50	0	52	220	37	30	8	0%	1.0	16.7%	13.5%	3.2%	3.5%	5.55	5.68	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		154	0	164	716	125	91	18	0%	1.1	17.4%	12.7%	4.7%	2.5%	5.66	4.64	-0.2
/ 200 IP	—	RAW		188	0	200	874	153	111	22	0%	1.1	17.4%	12.7%	4.7%	2.5%	5.66	4.64	-0.2
Career	—	MLE		257	8	319	1348	323	124	21	3%	1.2	24.0%	9.2%	14.8%	1.6%	3.58	3.10	-0.8
/ 200 IP	—	MLE		161	5	200	845	203	78	13	3%	1.2	24.0%	9.2%	14.8%	1.6%	3.58	3.10	-1.0

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
Wyatt Mills (OGILVIE)	—	—	5.30	17.6%	12.5%	3.2%	—	5.58	16.9%	3.5%	115	+0.28	—	—	—
Dustin McGowan R 2015 · 5.32 FIP	33	SU	5.32	15.0%	14.5%	3.0%	.300	4.23	20.9%	13.0%	145	-1.09	3.82	208	82
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	77
Luis Angel Daniel R 2016 · 4.56 FIP	31	SU	4.56	13.4%	8.9%	2.7%	.286	4.16	9.8%	0.3%	53	-0.40	4.16	156	76
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	76
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	74
Jared Hughes R 2016 · 4.30 FIP	31	SU	4.30	13.2%	7.4%	2.5%	.283	3.75	19.4%	11.5%	210	-0.55	3.00	358	74
Javy Guerra R 2017 · 4.66 FIP	31	SU	4.66	16.7%	8.6%	3.4%	.282	3.61	20.9%	15.1%	136	-1.05	2.95	260	74
Fredy Quintero R 2019 · 4.62 FIP	31	SU	4.62	17.2%	13.7%	2.2%	.310	—	—	—	—	—	4.29	241	74
Grant Black R 2023 · 5.54 FIP	29	SU	5.54	15.4%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	73
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	73
Jaye Chapman R 2017 · 5.51 FIP	30	SU	5.51	13.0%	13.4%	3.3%	.311	—	—	—	—	—	3.25	150	72
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	72
Francisco Rodriguez R 2015 · 4.79 FIP	32	SU	4.79	11.1%	8.1%	2.9%	.281	4.04	12.1%	4.4%	139	-0.75	3.16	273	72
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	112	72
Dan Winkler R 2021 · 4.76 FIP	31	SU	4.76	21.1%	15.3%	2.7%	.233	3.87	24.4%	10.4%	46	-0.89	2.40	231	71
Tyler Sturdevant R 2017 · 4.48 FIP	31	SU	4.48	13.5%	6.7%	3.0%	.300	—	—	—	—	—	3.44	149	71
Jesus Adrian Castillo R 2015 · 4.37 FIP	31	SU	4.37	9.8%	9.5%	1.6%	.307	3.52	13.2%	7.9%	80	-0.85	2.23	173	71
Junichi Tazawa R 2017 · 4.65 FIP	31	SU	4.65	16.0%	7.6%	3.5%	.270	4.81	19.3%	9.7%	63	+0.16	2.94	227	71
Ivan Zavala R 2017 · 5.02 FIP	30	SU	5.02	12.8%	8.0%	3.6%	.286	5.15	12.7%	5.3%	61	+0.13	4.27	209	70
Antonio Guzman R 2019 · 4.96 FIP	31	SU	4.96	19.3%	14.7%	3.0%	.326	—	—	—	—	—	3.15	254	70

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.9	58	17.1%	13.1%	1.27	5.47
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Dylan Covey ('23)	1.5	73	15.4%	9.9%	1.53	6.14
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99