Blake Weiman

P Los Angeles Angels

Age 31 LHP 6'3" / 210 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MANROOKIE

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	43	50	2.68	2.17	27.5%	4.0%	—	K 21.7% · BB 4.5% · FIP 3.03
2025	29	AAAHOU	26	28	7.94	5.25	21.5%	10.0%	—	K 18.5% · BB 9.0% · FIP 5.57
2026	30	MIX3 levels	35	36	2.23	2.96	26.8%	2.6%	0.7	K 22.1% · BB 2.3% · FIP 3.59
2027PROJ	31	MLBLAA	12	13	4.10	4.13	21.0%	4.7%	0.1
2028PROJ78% MLB	32	MLBLAA	14	15	4.29	4.41	20.4%	5.5%	0.0

Last 3 seasons WAR 0.7 · Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs90

K%37

FB Velo10

Form2.55 ERA (proj 4.10) · K 20.3% (proj 21.0%) · BB 3.8% (proj 4.7%) · last 90d · 18 IP through Oct 27

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsColt Hynes (age 31) · Jeremy Bleich (age 31) · Hideki Okajima (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 95104vR 112

ERA4.10

FIP4.13

K%21.0%

BB%4.7%

K-BB%16.3%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Statcast · Contract

Scouting Grades

K†5050

Statcast Percentiles

FB Velo

p1090.1

Whiff%

p3723.4%

p3720.3%

xwOBA vs

p900.270

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)
2018	22	MIX MLE	3 levels	39	0	67	265	77	9	5	0%	1.7	22.5%	3.8%	18.6%	2.4%	2.42	2.98	—
2018	22	MIX RAW	3 levels	39	0	67	265	77	9	5	0%	1.7	29.1%	3.4%	25.7%	1.9%	2.42	2.17	—
2019	23	MIX MLE	2 levels	24	0	31	126	34	8	4	0%	1.3	22.4%	6.8%	15.6%	4.0%	2.90	4.25	—
2019	23	MIX RAW	2 levels	24	0	31	126	34	8	4	0%	1.3	27.0%	6.3%	20.6%	3.2%	2.90	3.36	—
2021	25	AAA MLE	Indianapolis Indians	35	0	45	187	45	12	11	0%	1.3	21.2%	6.7%	14.4%	5.9%	4.76	5.41	—
2021	25	AAA RAW	Indianapolis Indians	35	0	45	187	45	12	11	0%	1.3	24.1%	6.4%	17.6%	5.9%	4.76	5.06	—
2022	26	MIX MLE	2 levels	34	1	44	176	42	6	6	3%	1.3	20.0%	3.7%	16.3%	4.0%	4.47	4.06	—
2022	26	MIX RAW	2 levels	34	1	44	176	42	6	6	3%	1.3	23.9%	3.4%	20.5%	3.4%	4.47	3.37	—
2023	27	AAA MLE	Tacoma Rainiers	44	0	54	241	53	23	13	0%	1.2	18.9%	8.6%	10.3%	5.1%	5.17	5.40	—
2023	27	AAA RAW	Tacoma Rainiers	44	0	54	241	53	23	13	0%	1.2	22.0%	9.5%	12.4%	5.4%	5.17	5.54	—
2024	28	MIX MLE	2 levels	43	0	50	200	55	8	3	0%	1.2	21.7%	4.5%	17.2%	2.2%	2.68	3.03	—
2024	28	MIX MLE	2 levels	43	0	50	200	55	8	3	0%	1.2	21.7%	4.5%	17.2%	2.2%	2.68	3.03	—
2024	28	MIX RAW	2 levels	43	0	50	200	55	8	3	0%	1.2	27.5%	4.0%	23.5%	1.5%	2.68	2.17	—
2025	29	AAA MLE	Sugar Land Space Cowboys	26	0	28	130	28	13	6	0%	1.1	18.5%	9.0%	9.5%	5.3%	7.94	5.57	—
2025	29	AAA MLE	Sugar Land Space Cowboys	26	0	28	130	28	13	6	0%	1.1	18.5%	9.0%	9.5%	5.3%	7.94	5.57	—
2025	29	AAA RAW	Sugar Land Space Cowboys	26	0	28	130	28	13	6	0%	1.1	21.5%	10.0%	11.5%	4.6%	7.94	5.25	—
2026	30	MIX MLE	3 levels	35	0	36	153	41	4	5	0%	1.0	22.1%	2.3%	19.8%	3.8%	2.23	3.59	+0.4
2026	30	MIX MLE	3 levels	35	0	36	153	41	4	5	0%	1.0	22.1%	2.3%	19.8%	3.8%	2.23	3.59	+0.4
2026	30	MIX RAW	3 levels	35	0	36	153	41	4	5	0%	1.0	26.8%	2.6%	24.2%	3.3%	2.23	2.96	+0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			18	0	18	79	16	0	3	0%	1.0	20.3%	0.0%	20.3%	3.8%	2.55	3.50	+0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	LAA	12	0	13	55	12	3	2	0%	1.1	21.0%	4.7%	16.3%	3.3%	4.10	4.13	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	LAA	18	0	19	81	16	4	3	0%	1.1	20.4%	5.5%	14.9%	3.6%	4.29	4.41	+0.0
2028	32	MLB CTX	LAA	14	0	15	63	13	3	2	0%	1.1	20.4%	5.5%	14.9%	3.6%	4.29	4.41	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		32	0	33	142	29	3	5	0%	1.0	20.3%	2.4%	17.9%	3.7%	3.34	3.72	+0.3
/ 200 IP	—	RAW		198	0	200	872	178	18	31	0%	1.0	20.3%	2.4%	17.9%	3.7%	3.34	3.72	+2.0
Career	—	MLE		280	1	357	1478	309	83	59	0%	1.3	20.9%	5.6%	15.3%	4.0%	3.89	4.22	+0.3
/ 200 IP	—	MLE		157	1	200	829	174	46	33	0%	1.3	20.9%	5.6%	15.3%	4.0%	3.89	4.22	+1.4

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.

2026 AARocket City Trash Pandas · 16 IPFIP 2.90 → 3.79 (+0.89)K% 30.2% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.16%	—	×0.810	24.43%
BB% (unintentional) /BF	4.76%	—	×1.100	5.24%
HR / BF /BF	3.17%	÷1.000	×1.200	3.81%

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 100).

Result: FIP 2.90 → 3.79, 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).

2025 AAASugar Land Space Cowboys · 28 IPFIP 5.08 → 5.57 (+0.49)K% 21.5% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.54%	—	×0.860	18.52%
BB% (unintentional) /BF	10.00%	—	×0.900	9.00%
HR / BF /BF	4.62%	÷0.961	×1.100	5.28%

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 92).

Result: FIP 5.08 → 5.57, 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 AATennessee Smokies · 49 IPFIP 2.21 → 3.03 (+0.83)K% 26.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.80%	—	×0.810	21.71%
BB% (unintentional) /BF	4.12%	—	×1.100	4.54%
HR / BF /BF	1.55%	÷0.854	×1.200	2.17%

Result: FIP 2.21 → 3.03, 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 AAATacoma Rainiers · 54 IPFIP 5.41 → 5.40 (−0.01)K% 22.0% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.99%	—	×0.860	18.91%
BB% (unintentional) /BF	9.54%	—	×0.900	8.59%
HR / BF /BF	5.39%	÷1.157	×1.100	5.13%

Result: FIP 5.41 → 5.40, 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 AAArkansas Travelers · 27 IPFIP 2.40 → 3.19 (+0.79)K% 25.5% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.49%	—	×0.810	20.65%
BB% (unintentional) /BF	2.94%	—	×1.100	3.24%
HR / BF /BF	1.96%	÷0.909	×1.200	2.59%

Result: FIP 2.40 → 3.19, 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 AAAIndianapolis Indians · 17 IPFIP 4.75 → 5.25 (+0.50)K% 21.6% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.62%	—	×0.880	19.03%
BB% (unintentional) /BF	4.05%	—	×1.050	4.26%
HR / BF /BF	5.41%	÷1.013	×1.100	5.87%

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 103).

Result: FIP 4.75 → 5.25, 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 AAAIndianapolis Indians · 45 IPFIP 5.11 → 5.41 (+0.30)K% 24.1% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.06%	—	×0.880	21.18%
BB% (unintentional) /BF	6.42%	—	×1.050	6.74%
HR / BF /BF	5.88%	÷1.096	×1.100	5.90%

Result: FIP 5.11 → 5.41, 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).

2019 AAAltoona Curve · 19 IPFIP 1.77 → 2.77 (+1.00)K% 32.9% → 26.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.88%	—	×0.810	26.63%
BB% (unintentional) /BF	5.48%	—	×1.100	6.03%
HR / BF /BF	1.37%	÷0.783	×1.200	2.10%

Result: FIP 1.77 → 2.77, 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
Blake Weiman (OGILVIE)	—	—	4.13	21.0%	4.7%	3.3%	—	4.41	20.4%	14.9%	19	+0.28	—	—	—
Colt Hynes L 2016 · 3.55 FIP	31	SU	3.55	22.3%	4.8%	3.1%	.353	3.75	14.1%	9.5%	56	+0.20	3.42	169	77
Jeremy Bleich L 2018 · 3.69 FIP	31	SU	3.69	20.3%	6.6%	2.7%	.296	4.41	20.1%	13.1%	33	+0.72	3.20	241	74
Hideki Okajima L 2007 · 3.05 FIP	31	SU	3.05	23.2%	5.5%	2.2%	.234	3.87	20.2%	12.6%	169	+0.82	3.05	238	73
Tyler Olson L 2021 · 3.96 FIP	31	SU	3.96	21.6%	8.7%	2.9%	.250	—	—	—	—	—	3.15	263	68
Jorge Ibarra L 2017 · 3.09 FIP	29	SU	3.09	19.3%	6.5%	1.4%	.351	—	—	—	—	—	2.55	146	68
Yuki Matsui L 2024 · 3.63 FIP	28	SU	3.63	26.8%	8.9%	3.0%	.242	4.25	23.9%	12.6%	140	+0.62	3.63	203	68
Heriberto Ruelas L 2015 · 2.95 FIP	33	SU	2.95	19.1%	7.3%	1.0%	.352	3.57	16.2%	8.5%	89	+0.62	2.95	117	67
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	67
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	67
Tommy Layne L 2016 · 3.43 FIP	31	SU	3.43	20.3%	9.6%	1.5%	.266	4.25	19.4%	10.0%	90	+0.82	0.55	218	66
Joe Thatcher L 2013 · 3.34 FIP	31	SU	3.34	22.0%	6.1%	2.4%	.316	2.54	24.4%	17.7%	75	-0.80	1.18	273	66
Pedro Feliciano L 2008 · 3.90 FIP	31	SU	3.90	21.1%	7.6%	2.9%	.309	3.02	22.1%	14.9%	122	-0.88	2.69	378	66
Nick Hagadone L 2017 · 3.74 FIP	31	SU	3.74	22.6%	9.3%	2.5%	.267	—	—	—	—	—	2.97	141	65
Randy Flores L 2006 · 4.00 FIP	31	SU	4.00	20.4%	9.7%	2.5%	.333	3.30	18.1%	10.5%	93	-0.70	2.51	250	65
Ryan Buchter L 2018 · 3.54 FIP	31	SU	3.54	25.2%	8.6%	2.7%	.269	4.95	24.3%	12.6%	78	+1.41	2.37	296	64
Cory Luebke L 2016 · 3.88 FIP	31	SU	3.88	26.4%	9.1%	3.4%	.354	—	—	—	—	—	2.80	216	64
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.76	239	63
Josh Edgin L 2018 · 3.63 FIP	31	SU	3.63	29.2%	9.2%	3.3%	.324	—	—	—	—	—	2.62	195	63
Darin Downs L 2015 · 4.06 FIP	30	SU	4.06	12.9%	4.2%	2.8%	.288	—	—	—	—	—	2.83	107	63
Buddy Baumann L 2018 · 4.87 FIP	30	SU	4.87	20.5%	11.9%	3.6%	.258	—	—	—	—	—	2.92	155	62

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	0.3	28	20.6%	4.7%	1.38	3.67
Casey Fien ('17)	1.4	58	21.0%	5.1%	1.46	4.42
Richard Rodríguez ('21)	1.1	57	24.5%	6.4%	1.34	3.28
Dale Thayer ('15)	1.3	63	20.4%	6.3%	1.07	3.47
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Julio Navarro ('62-'70, 1 WAR*)	1.1	53	21.7%*	7.8%*	1.55*	4.13*
Bob Patterson ('85-'98, 4 WAR*)	3.1	51	23.0%*	6.7%*	1.32*	4.33*