Blake Weiman — OGILVIE

Blake Weiman P Rocket City Trash Pandas

Age 30 LHP 6'3" / 210 lbs AA

2026 ROS PROJECTION32 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 96104vR 112

ERA4.17

FIP4.17

K%20.1%

BB%6.9%

K-BB%13.1%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 34 IP

Grades · Statcast · Contract

Scouting Grades

K†4545

Statcast Percentiles

FB Velo

p1090.3

Whiff%

p4023.8%

p2819.0%

xwOBA vs

p900.254

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)
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	18.3%	8.6%	9.7%	5.1%	5.17	5.46	—
2023	27	AAA MLE	Tacoma Rainiers	44	0	54	241	53	23	13	0%	1.2	18.3%	8.6%	9.7%	5.1%	5.17	5.46	—
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	17.9%	9.0%	8.9%	5.3%	7.94	5.63	—
2025	29	AAA MLE	Sugar Land Space Cowboys	26	0	28	130	28	13	6	0%	1.1	17.9%	9.0%	8.9%	5.3%	7.94	5.63	—
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	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			12	0	13	58	11	0	1	0%	1.1	19.0%	0.0%	19.0%	1.7%	2.02	2.43	+0.3
▸ 2026 season
YTD	30	MLB MLE	Los Angeles Angels	29	0	32	132	36	4	3	0%	1.1	21.8%	2.7%	19.1%	2.8%	1.97	3.14	+0.5
YTD	30	MLB MLE	Los Angeles Angels	29	0	32	132	36	4	3	0%	1.1	21.8%	2.7%	19.1%	2.8%	1.97	3.14	+0.5
▸ 2026 season — so far · projected rest · full
2026	30	ROK RAW	LAA	3	0	3	11	6	1	0	0%	1.0	54.5%	9.1%	45.5%	0.0%	0.00	-0.35	—
2026	30	AA RAW	LAA	14	0	16	63	19	3	2	0%	1.1	30.2%	4.8%	25.4%	3.2%	2.30	2.90	—
2026	30	MLB RAW	LAA	12	0	13	58	11	0	1	0%	1.1	19.0%	0.0%	19.0%	1.7%	2.02	2.44	+0.3
SO FAR	30	MLB RAW	LAA	12	0	13	58	11	0	1	0%	1.1	19.0%	0.0%	19.0%	1.7%	2.02	2.44	+0.3
ROS	30	MLB MLE	LAA	2	0	2	8	2	1	0	0%	1.0	20.1%	6.9%	13.1%	3.4%	4.17	4.17	+0.0
ROS	30	MLB CTX	LAA	2	0	2	8	2	1	0	0%	1.0	20.1%	6.9%	13.1%	3.4%	4.17	4.17	+0.0
2026 TOT	30	MLB MLE	LAA	—	—	34	140	38	5	3	—	—	26.9%	3.3%	23.6%	2.3%	2.09	3.20	+0.6
FULL	30	MLB A+C	LAA	—	—	15	64	38	5	3	—	—	58.4%	7.1%	51.3%	5.1%	4.65	1.86	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	LAA	19	0	20	84	16	6	3	0%	1.1	19.5%	7.1%	12.3%	3.5%	4.56	4.65	-0.0
2027	31	MLB CTX	LAA	18	0	19	80	16	6	3	0%	1.1	19.5%	7.1%	12.3%	3.5%	4.56	4.65	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		32	0	34	146	28	6	4	0%	1.1	19.3%	4.3%	15.0%	2.8%	3.55	3.54	+0.4
/ 200 IP	—	RAW		186	0	200	854	163	35	23	0%	1.1	19.3%	4.3%	15.0%	2.8%	3.55	3.54	+2.4
Career	—	MLE		274	1	352	1457	302	83	57	0%	1.3	20.7%	5.7%	15.0%	3.9%	3.88	4.20	+0.3
/ 200 IP	—	MLE		156	1	200	827	171	47	32	0%	1.3	20.7%	5.7%	15.0%	3.9%	3.88	4.20	+1.8

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)	—	—	4.69	19.6%	7.6%	3.5%	—	4.65	19.5%	12.3%	20	-0.04	—	—	—
Fernando Abad L 2016 · 3.77 FIP	30	SU	3.77	20.7%	10.1%	2.1%	.271	2.95	21.8%	17.1%	88	-0.82	2.37	306	78
Jeff Ibarra L 2017 · 3.64 FIP	29	SU	3.64	18.1%	7.0%	2.1%	.342	2.85	20.6%	17.2%	29	-0.79	2.85	101	77
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	77
Vidal Nuño L 2017 · 4.57 FIP	30	SU	4.57	20.7%	8.1%	4.0%	.315	4.17	20.6%	15.0%	125	-0.40	4.00	424	76
Josh Edgin L 2017 · 4.02 FIP	30	SU	4.02	16.3%	10.2%	1.8%	.303	3.63	29.2%	20.0%	43	-0.39	3.63	113	76
Dan Jennings L 2017 · 4.32 FIP	30	SU	4.32	19.1%	9.0%	3.1%	.245	3.88	16.6%	8.5%	64	-0.44	3.11	244	76
Tommy Layne L 2015 · 3.61 FIP	30	SU	3.61	21.7%	12.1%	1.5%	.284	3.34	20.2%	11.0%	97	-0.27	1.32	182	73
Buddy Baumann L 2018 · 4.87 FIP	30	SU	4.87	20.5%	11.9%	3.6%	.258	—	—	—	—	—	2.92	155	73
Luis Avilán L 2019 · 4.51 FIP	30	SU	4.51	21.3%	9.9%	3.5%	.304	5.40	22.2%	12.2%	26	+0.89	2.62	256	73
Josh Outman L 2016 · 4.53 FIP	31	SU	4.53	15.3%	3.7%	4.1%	.323	5.73	12.8%	-1.0%	86	+1.20	4.53	106	73
Antonio Bastardo L 2016 · 4.43 FIP	30	SU	4.43	24.9%	9.8%	4.0%	.268	8.05	15.0%	-1.4%	20	+3.62	3.10	145	72
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	71
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	70
Zach Duke L 2015 · 4.21 FIP	32	SU	4.21	25.9%	11.0%	3.5%	.250	2.85	22.9%	14.7%	131	-1.36	2.44	215	70
Adam Kolarek L 2019 · 3.71 FIP	30	SU	3.71	19.7%	5.2%	2.9%	.248	4.34	15.0%	5.7%	126	+0.63	2.20	504	70
Ryan Buchter L 2017 · 4.45 FIP	30	SU	4.45	24.3%	9.3%	4.0%	.202	4.19	25.3%	15.6%	85	-0.26	2.37	296	69
Jeff Beliveau L 2017 · 4.40 FIP	30	SU	4.40	25.2%	11.3%	3.6%	.261	3.86	23.3%	8.9%	26	-0.54	3.19	137	69
Demetrio Gutierrez L 2019 · 3.68 FIP	29	SU	3.68	17.1%	5.3%	2.5%	.367	—	—	—	—	—	3.68	322	69
Felix Doubront L 2017 · 4.12 FIP	29	SU	4.12	23.7%	9.0%	3.4%	.304	3.44	17.6%	12.6%	126	-0.68	3.44	291	69
Chris Narveson L 2015 · 4.79 FIP	33	SW	4.79	23.6%	8.0%	4.9%	.333	4.59	14.1%	4.5%	193	-0.20	4.59	249	69