Garrett Acton — OGILVIE

Garrett Acton P St. Paul Saints

Age 28 RHP 6'2" / 215 lbs AAA peak 0.2 · 2026 ILReassigned to Minors (RM)

2026 ROS PROJECTION37 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10395vR 87

ERA3.68

FIP3.68

K%26.4%

BB%9.7%

K-BB%16.6%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 43 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL4545

CMD5555

K†6060

Statcast Percentiles

FB Velo

p5094.5

Whiff%

p9036.6%

p7927.5%

xwOBA vs

p450.317

FB+1.3 (57%)

SL (41%)

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)
2021	23	MIX MLE	2 levels	34	0	54	215	87	18	9	0%	1.6	30.4%	9.8%	20.6%	4.9%	3.69	4.48	—
2021	23	MIX RAW	2 levels	34	0	54	215	87	18	9	0%	1.6	40.5%	8.4%	32.1%	4.2%	3.69	3.04	—
2022	24	MIX MLE	2 levels	51	2	70	307	92	25	15	4%	1.4	25.4%	8.7%	16.7%	5.5%	5.01	5.06	—
2022	24	MIX RAW	2 levels	51	2	70	307	92	25	15	4%	1.4	30.0%	8.1%	21.8%	4.9%	5.01	4.33	—
2023	25	MIX MLE	2 levels	27	0	35	157	38	14	10	0%	1.3	21.9%	7.9%	14.0%	6.2%	6.75	5.65	-0.4
2023	25	MIX MLE	2 levels	27	0	35	157	38	14	10	0%	1.3	21.9%	7.9%	14.0%	6.2%	6.75	5.65	-0.4
2023	25	MIX RAW	2 levels	27	0	35	157	38	14	10	0%	1.3	24.2%	8.9%	15.3%	6.4%	6.75	5.87	-0.5
2025	27	MIX MLE	2 levels	46	4	60	241	71	29	7	9%	1.3	25.0%	10.3%	14.7%	2.4%	3.62	3.59	+0.7
2025	27	MIX MLE	2 levels	46	4	60	241	71	29	7	9%	1.3	25.0%	10.3%	14.7%	2.4%	3.62	3.59	+0.7
2025	27	MIX RAW	2 levels	46	4	60	241	71	29	7	9%	1.3	29.5%	12.0%	17.4%	2.9%	3.62	3.70	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			14	0	18	88	19	10	4	0%	1.3	21.6%	11.4%	10.2%	4.5%	7.64	5.59	-0.2
▸ 2026 season
YTD	28	MLB MLE	Minnesota Twins	27	0	37	154	48	17	3	0%	1.4	28.6%	9.4%	19.2%	1.5%	3.68	2.71	—
YTD	28	MLB MLE	Minnesota Twins	27	0	37	154	48	17	3	0%	1.4	28.6%	9.4%	19.2%	1.5%	3.68	2.71	—
▸ 2026 season — so far · projected rest · full
2026	28	ROK RAW	MIN	1	0	1	6	1	3	1	0%	0.7	16.7%	50.0%	-33.3%	16.7%	40.50	17.17	—
2026	28	A RAW	MIN	2	0	3	9	2	0	0	0%	1.5	22.2%	0.0%	22.2%	0.0%	0.00	1.22	—
2026	28	AAA RAW	MIN	17	0	22	88	31	9	1	0%	1.3	35.2%	10.2%	25.0%	1.1%	2.05	2.04	—
2026	28	MLB RAW	MIN	7	0	11	51	14	5	1	0%	1.6	27.5%	9.8%	17.6%	2.0%	5.73	3.10	+0.2
SO FAR	28	MLB RAW	MIN	7	0	11	51	14	5	1	0%	1.6	27.5%	9.8%	17.6%	2.0%	5.73	3.10	+0.2
ROS	28	MLB MLE	MIN	6	0	6	27	7	3	1	0%	1.0	26.4%	9.7%	16.6%	2.9%	3.68	3.68	+0.1
ROS	28	MLB CTX	MIN	6	0	6	25	7	2	1	0%	1.0	26.4%	9.7%	16.6%	2.9%	3.68	3.68	+0.1
2026 TOT	28	MLB MLE	MIN	—	—	43	181	55	20	4	—	—	30.5%	10.8%	19.6%	2.1%	3.68	2.85	+0.9
FULL	28	MLB A+C	MIN	—	—	17	73	55	20	4	—	—	75.3%	26.8%	48.5%	5.1%	9.15	2.96	+0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	MIN	63	0	66	280	71	28	8	0%	1.1	25.6%	10.0%	15.6%	3.0%	4.16	4.21	+0.3
2028	30	MLB MLE	MIN	59	0	62	263	66	27	8	0%	1.1	25.1%	10.2%	14.9%	3.2%	4.31	4.40	+0.1
2027	29	MLB CTX	MIN	60	0	63	266	68	26	8	0%	1.1	25.6%	10.0%	15.6%	3.0%	4.16	4.21	+0.3
2028	30	MLB CTX	MIN	56	0	59	249	62	25	8	0%	1.1	25.1%	10.2%	14.9%	3.2%	4.31	4.40	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		136	0	146	630	156	64	21	0%	1.1	24.9%	10.2%	14.6%	3.3%	4.62	4.09	+0.8
/ 200 IP	—	RAW		187	0	200	863	214	88	29	0%	1.1	24.9%	10.2%	14.6%	3.3%	4.62	4.09	+1.1
Career	—	MLE		185	6	255	1074	282	100	45	3%	1.4	26.3%	9.3%	17.0%	4.2%	4.45	4.37	+0.2
/ 200 IP	—	MLE		145	5	200	843	221	78	35	3%	1.4	26.3%	9.3%	17.0%	4.2%	4.45	4.37	+0.3

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
Garrett Acton (OGILVIE)	—	—	4.12	25.9%	9.8%	2.9%	—	4.30	25.3%	15.3%	128	+0.18	—	—	—
José Cisnero R 2016 · 4.50 FIP	27	SU	4.50	26.1%	11.7%	3.9%	.367	3.90	24.5%	13.3%	75	-0.60	2.26	279	83
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	82
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.42	20.8%	10.2%	92	+0.11	3.89	168	79
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	78
Michael Dimock R 2018 · 3.37 FIP	28	SU	3.37	23.5%	10.7%	1.6%	.346	—	—	—	—	—	3.08	166	77
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	77
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	77
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	77
Michael Mariot R 2017 · 3.51 FIP	28	SU	3.51	22.6%	9.0%	2.1%	.327	4.79	20.9%	11.8%	74	+1.28	2.40	676	76
Brad Deppermann R 2023 · 4.25 FIP	27	SU	4.25	22.7%	9.4%	3.4%	.417	2.87	19.5%	13.2%	71	-1.38	1.94	143	76
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	76
Zach McAllister R 2016 · 3.70 FIP	28	SU	3.70	23.2%	9.0%	2.6%	.309	4.18	24.0%	17.4%	119	+0.48	2.82	363	75
Dayan Díaz R 2017 · 3.45 FIP	28	SU	3.45	25.1%	8.7%	2.5%	.358	3.96	29.4%	19.3%	16	+0.51	3.08	205	75
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	74
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.65	159	74
Greg Holland R 2015 · 3.21 FIP	29	SU	3.21	25.4%	13.0%	1.1%	.316	3.45	26.4%	14.2%	104	+0.24	1.97	268	74
Blake Treinen R 2016 · 3.32 FIP	28	SU	3.32	24.0%	9.5%	1.9%	.271	3.04	26.0%	17.7%	215	-0.28	1.53	547	74
Andrew Robinson R 2016 · 3.19 FIP	28	SU	3.19	22.2%	7.9%	1.8%	.247	4.32	23.4%	14.6%	39	+1.13	3.19	160	74
Neil Ramírez R 2017 · 4.66 FIP	28	SU	4.66	27.1%	12.5%	4.1%	.389	4.86	29.1%	19.7%	116	+0.20	3.21	220	73
JT Chargois R 2019 · 3.63 FIP	28	SU	3.63	27.2%	8.9%	3.1%	.311	3.57	23.1%	15.8%	76	-0.06	2.58	362	73

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	1.0	64	25.5%	10.0%	1.17	4.20
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64