Brad Wieck — OGILVIE

Brad Wieck P Iowa Cubs

Age 34 LHP 6'8" / 257 lbs AAA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 11 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 97105vR 113

ERA4.14

FIP4.21

K%23.1%

BB%7.8%

K-BB%15.4%

ROS IP11

Value2026 · WAR

Runs saved vs league avg · 11 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL4040

CMD7070

K†5555

Statcast Percentiles

FB Velo

p2392.6

Whiff%

p6728.0%

p9039.4%

xwOBA vs

p900.255

FB+4.1

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)
2015	23	MIX MLE	2 levels	23	23	123	531	139	50	8	100%	5.4	19.7%	11.0%	8.7%	2.2%	4.09	4.06	—
2015	23	MIX RAW	2 levels	23	23	123	531	139	50	8	100%	5.4	26.2%	9.4%	16.8%	1.5%	4.09	2.91	—
2016	24	MIX MLE	2 levels	41	0	61	249	93	24	0	0%	1.5	29.3%	10.9%	18.3%	0.0%	1.17	2.01	—
2016	24	MIX RAW	2 levels	41	0	61	249	93	24	0	0%	1.5	37.3%	9.6%	27.7%	0.0%	1.17	1.24	—
2017	25	MIX MLE	3 levels	41	0	39	174	61	23	2	0%	0.9	32.5%	11.3%	21.3%	1.0%	3.96	2.33	—
2017	25	MIX RAW	3 levels	41	0	39	174	61	23	2	0%	0.9	35.1%	13.2%	21.8%	1.1%	3.96	2.40	—
2018	26	MIX MLE	3 levels	49	0	53	218	80	17	4	0%	1.1	30.5%	9.4%	21.0%	1.8%	2.36	2.73	+1.2
2018	26	MIX RAW	3 levels	49	0	53	218	80	17	4	0%	1.1	36.7%	7.8%	28.9%	1.8%	2.36	2.03	+1.6
2019	27	MIX MLE	2 levels	64	0	58	245	94	22	13	0%	0.9	36.2%	9.2%	27.0%	5.5%	5.43	4.24	+0.2
2019	27	MIX RAW	2 levels	64	0	58	245	94	22	13	0%	0.9	38.4%	9.0%	29.4%	5.3%	5.43	3.91	+0.4
2020	28	MLB MLE	Chicago Cubs	1	0	1	5	2	1	1	0%	1.0	40.0%	20.0%	20.0%	20.0%	18.00	13.23	-0.1
2020	28	MLB RAW	Chicago Cubs	1	0	1	5	2	1	1	0%	1.0	40.0%	20.0%	20.0%	20.0%	18.00	15.10	-0.1
2021	29	MIX MLE	2 levels	21	0	25	110	40	18	0	0%	1.2	39.4%	14.1%	25.4%	0.0%	1.46	1.55	+0.9
2021	29	MIX RAW	2 levels	21	0	25	110	40	18	0	0%	1.2	36.4%	16.4%	20.0%	0.0%	1.46	2.05	+0.7
2024	32	AAA MLE	Iowa Cubs	21	0	27	120	29	10	4	0%	1.3	20.1%	7.5%	12.6%	3.4%	4.94	4.22	—
2024	32	AAA MLE	Iowa Cubs	21	0	27	120	29	10	4	0%	1.3	20.1%	7.5%	12.6%	3.4%	4.94	4.22	—
2024	32	AAA RAW	Iowa Cubs	21	0	27	120	29	10	4	0%	1.3	24.2%	8.3%	15.8%	3.3%	4.94	3.98	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			65	0	60	248	89	24	10	0%	0.9	35.9%	9.7%	26.2%	4.0%	3.77	3.50	+0.7
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	34	MLB	CHC	10	0	11	46	11	4	1	0%	1.1	23.1%	7.8%	15.4%	3.1%	4.14	4.21	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	35	MLB MLE	CHC	122	0	129	543	120	45	19	0%	1.1	22.1%	8.3%	13.8%	3.4%	4.39	4.55	0.0
2028	36	MLB MLE	CHC	108	0	114	480	101	43	18	0%	1.1	21.0%	8.9%	12.2%	3.8%	4.68	4.89	-0.4
2027	35	MLB CTX	CHC	7	0	7	30	7	2	1	0%	1.0	22.1%	8.3%	13.8%	3.4%	4.39	4.55	0.0
2028	36	MLB CTX	CHC	—	—	0	—	—	—	—	—	—	21.0%	8.9%	12.2%	3.8%	4.68	4.89	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		72	0	67	278	96	26	11	0%	0.9	34.4%	9.5%	24.9%	4.0%	3.84	3.58	+0.8
/ 200 IP	—	RAW		215	0	200	833	288	78	33	0%	0.9	34.4%	9.5%	24.9%	4.0%	3.84	3.58	+2.3
Career	—	MLE		261	23	388	1652	458	173	36	9%	1.5	27.7%	10.5%	17.2%	2.2%	3.51	3.29	+0.3
/ 200 IP	—	MLE		135	12	200	852	236	89	19	9%	1.5	27.7%	10.5%	17.2%	2.2%	3.51	3.29	+0.2

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
Brad Wieck (OGILVIE)	—	—	4.21	23.1%	7.8%	3.1%	—	4.71	21.6%	13.0%	242	+0.50	—	—	—
Sean Doolittle L 2021 · 4.00 FIP	34	SU	4.00	23.8%	9.0%	3.2%	.301	—	—	—	—	—	1.39	259	62
Rich Hill L 2015 · 3.27 FIP	35	SW	3.27	26.8%	10.9%	1.9%	.239	3.07	29.0%	21.2%	379	-0.20	2.05	1,030	61
Oliver Pérez L 2016 · 3.36 FIP	34	SU	3.36	25.3%	9.3%	2.2%	.296	2.54	29.1%	23.7%	120	-0.82	1.58	219	59
Neal Cotts L 2015 · 4.66 FIP	35	SU	4.66	21.6%	7.4%	4.4%	.257	3.77	21.9%	14.5%	93	-0.89	3.21	156	59
Craig Breslow L 2015 · 4.94 FIP	34	SU	4.94	16.4%	6.4%	4.4%	.279	4.42	16.2%	6.5%	94	-0.52	4.22	159	56
Brian Duensing L 2017 · 3.26 FIP	34	SU	3.26	23.7%	6.6%	2.4%	.301	5.80	11.7%	-0.7%	51	+2.54	2.57	198	56
Caleb Thielbar L 2021 · 3.20 FIP	34	SU	3.20	28.9%	7.1%	3.0%	.290	3.31	29.3%	21.7%	137	+0.11	2.22	505	56
Cesár Ramos L 2017 · 4.23 FIP	33	SW	4.23	16.7%	8.3%	2.7%	.295	—	—	—	—	—	2.80	225	55
Alejandro Soto L 2019 · 4.03 FIP	33	SW	4.03	17.1%	6.9%	2.7%	.376	—	—	—	—	—	3.96	280	53
Colt Hynes L 2017 · 3.75 FIP	32	SW	3.75	14.1%	4.6%	2.3%	.306	—	—	—	—	—	3.42	152	50
Tony Sipp L 2017 · 4.92 FIP	34	SU	4.92	23.6%	8.5%	5.0%	.269	2.59	24.9%	15.9%	60	-2.33	2.22	195	50
Manny Parra L 2018 · 3.33 FIP	35	SU	3.33	18.4%	10.3%	0.9%	.351	2.43	17.3%	11.0%	27	-0.90	2.43	114	49
Ryan Buchter L 2021 · 5.24 FIP	34	SU	5.24	22.9%	13.2%	4.4%	.267	—	—	—	—	—	2.37	296	49
Jerry Blevins L 2018 · 4.43 FIP	34	SU	4.43	21.8%	11.2%	3.2%	.250	4.09	26.2%	16.3%	32	-0.34	2.71	166	48
Brandon Mann L 2018 · 3.59 FIP	34	SU	3.59	17.8%	11.4%	1.0%	.232	—	—	—	—	—	3.59	190	47
Heriberto Ruelas L 2016 · 3.75 FIP	34	SU	3.75	15.0%	8.9%	1.4%	.310	3.42	17.2%	10.5%	49	-0.33	2.95	117	45
Jake Diekman L 2021 · 4.27 FIP	34	SU	4.27	31.7%	12.2%	4.2%	.270	4.26	27.8%	12.4%	146	-0.01	2.36	455	45
Andrew Miller L 2019 · 4.74 FIP	34	SU	4.74	29.7%	11.0%	5.0%	.264	3.41	25.6%	16.5%	49	-1.33	1.34	336	45
Luke Westphal L 2022 · 4.35 FIP	33	SW	4.35	24.2%	13.4%	2.9%	.302	5.24	15.2%	-1.2%	26	+0.89	2.97	294	44
Adam Loewen L 2017 · 4.22 FIP	33	SU	4.22	23.4%	17.4%	1.6%	.293	—	—	—	—	—	2.96	176	44

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	1.9	129	22.1%	8.3%	1.32	4.38
Kutter Crawford ('24)	2.0	130	23.9%	7.2%	1.45	4.47
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Mike Foltynewicz ('21)	4.0	134	21.4%	7.7%	1.46	4.45
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54
Luis Garcia ('23)	1.7	113	25.5%	7.7%	1.19	3.63
Tyler Skaggs ('19)	1.7	85	22.9%	8.2%	1.09	4.24