Sam Bachman — OGILVIE

Sam Bachman P Los Angeles Angels

Age 26 RHP 6'1" / 235 lbs MLB peak 0.1 · 2026 ILInjured 15-Day (D15)

2026 ROS PROJECTION46 act + 3 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10698vR 90

ERA4.18

FIP4.11

K%22.2%

BB%12.7%

K-BB%9.5%

ROS IP3

Value2026 · WAR

Runs saved vs league avg · 50 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL3030

CMD4040

K†5055

Statcast Percentiles

FB Velo

p9098.5

Whiff%

p9033.1%

p5523.2%

xwOBA vs

p630.299

SL+5.6 (51%)

FB (34%)

SI (31%)

CH-2.1 (14%)

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	21	A+ MLE	Tri-City Dust Devils	5	5	14	58	15	4	1	100%	2.9	19.9%	7.9%	12.0%	2.3%	3.77	3.70	—
2021	21	A+ RAW	Tri-City Dust Devils	5	5	14	58	15	4	1	100%	2.9	25.9%	6.9%	19.0%	1.7%	3.77	2.75	—
2022	22	AA MLE	Rocket City Trash Pandas	12	12	44	193	30	25	4	100%	3.6	12.6%	14.2%	-1.7%	2.2%	3.92	5.05	—
2022	22	AA RAW	Rocket City Trash Pandas	12	12	44	193	30	25	4	100%	3.6	15.5%	13.0%	2.6%	2.1%	3.92	4.63	—
2023	23	MIX MLE	2 levels	17	6	43	195	43	30	3	35%	2.5	19.2%	16.4%	2.8%	1.9%	4.78	4.60	-0.0
2023	23	MIX MLE	2 levels	17	6	43	195	43	30	3	35%	2.5	19.2%	16.4%	2.8%	1.9%	4.78	4.60	-0.0
2023	23	MIX RAW	2 levels	17	6	43	195	43	30	3	35%	2.5	22.1%	15.4%	6.7%	1.5%	4.78	4.09	+0.2
2024	24	MIX MLE	3 levels	16	16	62	263	50	21	10	100%	3.9	14.1%	9.4%	4.7%	4.7%	4.82	5.69	—
2024	24	MIX MLE	3 levels	16	16	62	263	50	21	10	100%	3.9	14.1%	9.4%	4.7%	4.7%	4.82	5.69	—
2024	24	MIX RAW	3 levels	16	16	62	263	50	21	10	100%	3.9	19.0%	8.0%	11.0%	3.8%	4.82	4.61	—
2025	25	MIX MLE	3 levels	49	0	48	212	45	26	1	0%	1.0	18.6%	11.5%	7.1%	0.5%	3.02	3.25	+0.7
2025	25	MIX MLE	3 levels	49	0	48	212	45	26	1	0%	1.0	18.6%	11.5%	7.1%	0.5%	3.02	3.25	+0.7
2025	25	MIX RAW	3 levels	49	0	48	212	45	26	1	0%	1.0	21.2%	12.3%	9.0%	0.5%	3.02	3.12	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			75	0	83	369	78	46	7	0%	1.1	21.1%	12.5%	8.7%	1.9%	4.45	3.98	+0.6
▸ 2026 season
YTD	26	MLB MLE	Los Angeles Angels	42	0	46	202	47	28	6	0%	1.1	23.2%	13.1%	10.1%	3.0%	4.08	4.43	+0.1
YTD	26	MLB MLE	Los Angeles Angels	42	0	46	202	47	28	6	0%	1.1	23.2%	13.1%	10.1%	3.0%	4.08	4.43	+0.1
▸ 2026 season — so far · projected rest · full
2026	26	A RAW	LAA	1	0	1	4	1	2	0	0%	0.7	25.0%	50.0%	-25.0%	0.0%	0.00	7.32	—
2026	26	MLB RAW	LAA	41	0	46	198	46	26	6	0%	1.1	23.2%	13.1%	10.1%	3.0%	4.14	4.46	+0.0
SO FAR	26	MLB RAW	LAA	41	0	46	198	46	26	6	0%	1.1	23.2%	13.1%	10.1%	3.0%	4.14	4.46	+0.0
ROS	26	MLB MLE	LAA	3	0	3	14	3	2	0	0%	1.1	22.2%	12.7%	9.5%	2.3%	4.18	4.11	+0.0
ROS	26	MLB CTX	LAA	3	0	3	13	3	2	0	0%	1.0	22.2%	12.7%	9.5%	2.3%	4.18	4.11	+0.0
2026 TOT	26	MLB MLE	LAA	—	—	50	216	50	30	6	—	—	23.2%	13.8%	9.4%	2.9%	4.09	4.41	+0.1
FULL	26	MLB A+C	LAA	—	—	49	206	50	30	6	—	—	24.2%	14.4%	9.8%	3.1%	4.14	4.56	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	LAA	52	0	55	231	51	29	6	0%	1.1	22.2%	12.5%	9.7%	2.6%	4.61	4.60	-0.0
2028	28	MLB MLE	LAA	51	0	53	224	50	28	6	0%	1.0	22.1%	12.4%	9.8%	2.7%	4.63	4.66	-0.1
2027	27	MLB CTX	LAA	50	0	52	220	49	27	6	0%	1.0	22.2%	12.5%	9.7%	2.6%	4.61	4.60	-0.0
2028	28	MLB CTX	LAA	48	0	50	211	47	26	6	0%	1.0	22.1%	12.4%	9.8%	2.7%	4.63	4.66	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		176	0	189	815	177	101	19	0%	1.1	21.7%	12.4%	9.3%	2.3%	4.54	4.11	+1.0
/ 200 IP	—	RAW		186	0	200	864	188	107	20	0%	1.1	21.7%	12.4%	9.3%	2.3%	4.54	4.11	+1.0
Career	—	MLE		141	39	257	1123	197	140	29	28%	1.8	17.5%	12.5%	5.1%	2.6%	4.13	4.60	+0.5
/ 200 IP	—	MLE		110	30	200	874	153	109	22	28%	1.8	17.5%	12.5%	5.1%	2.6%	4.13	4.60	+0.5

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
Sam Bachman (OGILVIE)	—	—	4.51	21.3%	12.5%	2.3%	—	4.63	22.2%	9.7%	108	+0.12	—	—	—
Manny Barreda R 2015 · 5.04 FIP	26	SU	5.04	21.2%	14.7%	3.4%	.286	3.69	19.6%	9.5%	186	-1.35	3.30	376	76
Hunter Bigge R 2023 · 4.02 FIP	25	SU	4.02	23.1%	14.6%	1.9%	.316	4.74	26.0%	14.8%	101	+0.72	3.44	229	75
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.55	21.2%	-0.6%	51	+0.46	4.09	130	75
Tyler Bashlor R 2019 · 4.88 FIP	26	SU	4.88	20.7%	11.7%	3.7%	.258	4.10	23.7%	13.0%	38	-0.78	2.55	253	74
Tyler Kinley R 2017 · 3.74 FIP	26	SU	3.74	25.0%	10.3%	2.6%	.295	3.82	25.0%	11.7%	140	+0.08	1.58	595	73
Thyago Vieira R 2019 · 4.33 FIP	26	SU	4.33	21.1%	10.8%	3.0%	.346	—	—	—	—	—	3.04	311	72
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	299	71
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.86	18.0%	10.2%	272	-1.00	3.52	390	71
Calvin Faucher R 2022 · 4.68 FIP	26	SU	4.68	22.8%	10.6%	4.0%	.330	3.42	24.1%	14.4%	140	-1.26	2.08	443	71
Juan Minaya R 2017 · 3.69 FIP	26	SU	3.69	24.4%	9.6%	2.6%	.291	3.63	25.1%	14.5%	132	-0.06	3.20	446	71
Justin Anderson R 2019 · 4.12 FIP	26	SU	4.12	27.6%	14.7%	2.7%	.303	—	—	—	—	—	3.22	587	71
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	69
Brad Goldberg R 2016 · 3.83 FIP	26	SU	3.83	18.1%	10.8%	1.6%	.269	3.87	23.3%	7.2%	89	+0.04	3.14	197	69
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.21	22.0%	8.7%	119	-0.35	2.12	165	69
Logan VanWey R 2023 · 4.34 FIP	24	SU	4.34	23.9%	14.0%	2.7%	.301	3.86	25.0%	14.1%	144	-0.48	3.15	191	68
Dylan Hall R 2023 · 3.98 FIP	25	SU	3.98	21.0%	13.2%	1.8%	.305	7.24	15.1%	2.4%	58	+3.26	3.47	153	68
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	68
José A. Váldez R 2016 · 4.50 FIP	26	SU	4.50	22.2%	13.1%	2.9%	.205	4.22	19.6%	8.3%	211	-0.28	4.02	328	68
Matt Festa R 2019 · 4.66 FIP	26	SU	4.66	21.9%	11.2%	3.6%	.246	4.11	29.9%	23.0%	75	-0.55	2.58	477	68
Ian Gibaut R 2020 · 4.76 FIP	26	SU	4.76	23.7%	15.3%	3.1%	.265	3.37	23.7%	14.3%	176	-1.39	2.63	430	68

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	0.8	52	21.9%	12.5%	0.98	4.61
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
John Gant ('21)	1.7	85	20.1%	12.5%	0.79	3.91
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41