Sam Bachman

P Los Angeles Angels

Age 27 RHP 6'1" / 235 lbs MLB peak 0.1 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	16	16	62	4.82	4.61	19.0%	8.0%	—	K 14.2% · BB 9.4% · FIP 5.68
2025	25	MIX3 levels	49	0	48	3.02	3.12	21.2%	12.3%	0.8	K 18.9% · BB 11.5% · FIP 3.22
2026	26	MIX3 levels	47	0	51	4.56	4.62	23.0%	13.5%	-0.0	K 22.6% · BB 12.9% · FIP 4.56
2027PROJ	27	MLBLAA	36	0	38	4.66	4.55	25.4%	13.6%	0.0
2028PROJ89% MLB	28	MLBLAA	28	0	29	4.62	4.61	25.1%	13.3%	-0.0
2029PROJ91% MLB	29	MLBLAA	21	0	22	4.69	4.75	24.4%	13.2%	-0.1

Last 3 seasons WAR 0.8 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo90

xwOBA vs53

K%52

CompsShintaro Fujinami (age 29) · Juan Minaya (age 27) · Tyler Kinley (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114106vR 98

ERA4.66

FIP4.55

K%25.4%

BB%13.6%

K-BB%11.8%

Proj IP44

Value2027 · WAR

Runs saved vs league avg · 44 IP

Grades · Statcast · Contract

Scouting Grades

STUF6060

CTRL3030

CMD4040

K†6060

Statcast Percentiles

FB Velo

p9098.4

Whiff%

p9033.3%

p5222.6%

xwOBA vs

p530.309

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)
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 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	14.2%	9.4%	4.8%	4.7%	4.82	5.68	—
2024	24	MIX MLE	3 levels	16	16	62	263	50	21	10	100%	3.9	14.2%	9.4%	4.8%	4.7%	4.82	5.68	—
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	18.9%	11.5%	7.4%	0.5%	3.02	3.22	+0.8
2025	25	MIX MLE	3 levels	49	0	48	212	45	26	1	0%	1.0	18.9%	11.5%	7.4%	0.5%	3.02	3.22	+0.8
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
2026	26	MIX MLE	3 levels	47	0	51	230	53	31	7	0%	1.1	22.6%	12.9%	9.7%	3.2%	4.56	4.56	-0.0
2026	26	MIX MLE	3 levels	47	0	51	230	53	31	7	0%	1.1	22.6%	12.9%	9.7%	3.2%	4.56	4.56	-0.0
2026	26	MIX RAW	3 levels	47	0	51	230	53	31	7	0%	1.1	23.0%	13.5%	9.6%	3.0%	4.56	4.62	-0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			78	0	86	388	81	48	8	0%	1.1	20.9%	12.4%	8.5%	2.1%	4.81	4.10	+0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	LAA	36	0	38	160	41	22	4	0%	1.1	25.4%	13.6%	11.8%	2.7%	4.66	4.55	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	LAA	31	0	33	138	35	18	4	0%	1.1	25.1%	13.3%	11.8%	2.8%	4.62	4.61	-0.0
2029	29	MLB MLE	LAA	23	0	25	104	25	14	3	0%	1.1	24.4%	13.2%	11.2%	3.0%	4.69	4.75	-0.1
2028	28	MLB CTX	LAA	28	0	29	122	31	16	3	0%	1.0	25.1%	13.3%	11.8%	2.8%	4.62	4.61	-0.0
2029	29	MLB CTX	LAA	21	0	22	93	23	12	3	0%	1.0	24.4%	13.2%	11.2%	3.0%	4.69	4.75	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		127	0	137	605	135	77	14	0%	1.1	22.3%	12.7%	9.6%	2.4%	4.75	4.13	+0.7
/ 200 IP	—	RAW		185	0	200	881	196	112	20	0%	1.1	22.3%	12.7%	9.6%	2.4%	4.75	4.13	+1.0
Career	—	MLE		146	39	262	1151	203	143	30	27%	1.8	17.6%	12.4%	5.2%	2.6%	4.23	4.62	+0.4
/ 200 IP	—	MLE		111	30	200	879	155	109	23	27%	1.8	17.6%	12.4%	5.2%	2.6%	4.23	4.62	+0.5

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.

2025 AAASalt Lake Bees · 25 IPFIP 2.98 → 3.07 (+0.09)K% 21.8% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.82%	—	×0.860	18.76%
BB% (unintentional) /BF	13.64%	—	×0.900	12.27%
HR / BF /BF	0.00%	÷0.989	×1.100	0.00%

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 98).

Result: FIP 2.98 → 3.07, 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).

2024 AARocket City Trash Pandas · 39 IPFIP 4.62 → 5.51 (+0.89)K% 20.0% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.810	16.20%
BB% (unintentional) /BF	10.00%	—	×1.100	11.00%
HR / BF /BF	3.53%	÷0.976	×1.200	4.34%

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 95).

Result: FIP 4.62 → 5.51, 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 AAASalt Lake Bees · 16 IPFIP 5.47 → 6.12 (+0.65)K% 10.6% → 9.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	10.61%	—	×0.860	9.12%
BB% (unintentional) /BF	6.06%	—	×0.900	5.45%
HR / BF /BF	4.55%	÷0.886	×1.100	5.64%

Result: FIP 5.47 → 6.12, 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 ROKACL Angels · 7 IPFIP 2.32 → 4.36 (+2.05)K% 33.3% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.680	22.67%
BB% (unintentional) /BF	0.00%	—	×1.250	0.00%
HR / BF /BF	3.70%	÷0.895	×1.400	5.79%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 79).

Result: FIP 2.32 → 4.36, 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 AARocket City Trash Pandas · 26 IPFIP 4.57 → 5.51 (+0.94)K% 24.6% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.58%	—	×0.810	19.91%
BB% (unintentional) /BF	16.95%	—	×1.100	18.64%
HR / BF /BF	2.54%	÷0.970	×1.200	3.14%

Result: FIP 4.57 → 5.51, 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).

2022 AARocket City Trash Pandas · 44 IPFIP 4.57 → 5.05 (+0.48)K% 15.5% → 12.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.54%	—	×0.810	12.59%
BB% (unintentional) /BF	12.95%	—	×1.100	14.25%
HR / BF /BF	2.07%	÷1.131	×1.200	2.20%

Result: FIP 4.57 → 5.05, 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+Tri-City Dust Devils · 14 IPFIP 2.74 → 3.70 (+0.97)K% 25.9% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.86%	—	×0.770	19.91%
BB% (unintentional) /BF	6.90%	—	×1.150	7.93%
HR / BF /BF	1.72%	÷0.923	×1.250	2.34%

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 85).

Result: FIP 2.74 → 3.70, 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
Sam Bachman (OGILVIE)	—	—	4.55	25.4%	13.6%	2.7%	—	4.67	24.8%	11.5%	57	+0.12	—	—	—
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.49	22.0%	0.2%	51	+0.40	4.09	130	81
Juan Minaya R 2018 · 3.40 FIP	27	SU	3.40	27.0%	11.4%	2.1%	.282	3.82	24.0%	13.2%	131	+0.42	3.20	446	71
Tyler Kinley R 2018 · 3.36 FIP	27	SU	3.36	27.2%	11.8%	1.9%	.331	4.14	23.5%	11.8%	159	+0.78	1.58	602	71
Seth Halvorsen R 2024 · 3.82 FIP	24	SU	3.82	21.0%	12.5%	1.7%	.330	4.30	21.3%	11.0%	96	+0.48	3.82	131	71
Daniel Robert R 2022 · 4.20 FIP	27	SU	4.20	24.3%	16.3%	2.0%	.312	3.16	24.5%	15.4%	130	-1.04	2.32	186	70
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	69
Sean Reynolds R 2024 · 3.55 FIP	26	SU	3.55	23.0%	11.8%	1.6%	.367	4.93	18.5%	3.0%	55	+1.38	3.55	258	69
Brian Ellington R 2017 · 4.75 FIP	26	SU	4.75	25.5%	14.9%	3.5%	.283	5.61	22.4%	5.3%	29	+0.86	2.75	233	69
Kyle Barraclough R 2017 · 3.42 FIP	27	SU	3.42	26.6%	12.2%	1.8%	.282	4.99	24.5%	12.2%	89	+1.57	1.95	523	68
Cam Sanders R 2024 · 4.83 FIP	27	SU	4.83	24.9%	16.0%	3.3%	.338	3.35	29.0%	16.1%	111	-1.48	3.22	519	68
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	67
Yennier Cano R 2021 · 3.41 FIP	27	SU	3.41	24.0%	11.4%	1.6%	.311	3.35	24.0%	16.1%	191	-0.06	2.43	381	67
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.80	21.7%	10.2%	69	+0.87	3.84	181	67
Javy Guerra R 2023 · 4.44 FIP	27	SU	4.44	18.2%	12.7%	2.3%	.256	5.14	17.2%	4.1%	37	+0.70	3.33	183	67
Jason Adam R 2019 · 3.39 FIP	27	SU	3.39	24.2%	9.0%	2.2%	.237	2.64	33.1%	24.9%	88	-0.75	2.42	396	67
Cody Morris R 2024 · 3.90 FIP	27	SU	3.90	23.3%	13.8%	1.9%	.263	—	—	—	—	—	2.23	256	67
Beck Wheeler R 2016 · 4.42 FIP	27	SU	4.42	24.9%	14.5%	2.9%	.360	5.40	15.3%	3.1%	58	+0.98	3.46	173	66
Joe Harvey R 2019 · 5.43 FIP	27	SU	5.43	24.9%	14.3%	4.8%	.258	6.09	26.7%	6.8%	17	+0.66	2.56	197	66
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	66
Dennis Sarfate R 2008 · 4.42 FIP	27	SU	4.42	24.0%	16.7%	2.2%	.263	4.81	19.8%	5.9%	23	+0.39	4.42	103	66

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	0.9	37	23.1%	13.2%	0.95	4.73
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16