Maddux Bruns — OGILVIE

Maddux Bruns P Tulsa Drillers

Age 24 LHP 6'2" / 205 lbs AA peak 0.3 · 2028

2026 ROS PROJECTION22 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 129137vR 145

ERA5.90

FIP5.90

K%18.0%

BB%20.0%

K-BB%-2.1%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 28 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL2525

CMD3030

K†4045

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	19	ROK MLE	ACL Dodgers	4	4	5	30	5	7	2	100%	1.2	16.7%	23.3%	-6.7%	6.7%	16.20	8.31	—
2021	19	ROK RAW	ACL Dodgers	4	4	5	30	5	7	2	100%	1.2	16.7%	23.3%	-6.7%	6.7%	16.20	10.50	—
2022	20	A MLE	Rancho Cucamonga Quakes	21	21	44	216	67	45	1	100%	2.1	23.0%	24.6%	-1.6%	0.5%	5.68	4.54	—
2022	20	A RAW	Rancho Cucamonga Quakes	21	21	44	216	67	45	1	100%	2.1	31.0%	20.8%	10.2%	0.5%	5.68	3.42	—
2023	21	MIX MLE	2 levels	26	26	97	430	126	67	7	100%	3.7	22.3%	18.0%	4.3%	2.1%	3.99	4.67	—
2023	21	MIX MLE	2 levels	26	26	97	430	126	67	7	100%	3.7	22.3%	18.0%	4.3%	2.1%	3.99	4.67	—
2023	21	MIX RAW	2 levels	26	26	97	430	126	67	7	100%	3.7	29.3%	15.6%	13.7%	1.6%	3.99	3.51	—
2024	22	A+ MLE	Great Lakes Loons	10	10	28	128	37	20	0	100%	2.8	22.3%	18.0%	4.3%	0.0%	2.22	3.50	—
2024	22	A+ MLE	Great Lakes Loons	10	10	28	128	37	20	0	100%	2.8	22.3%	18.0%	4.3%	0.0%	2.22	3.50	—
2024	22	A+ RAW	Great Lakes Loons	10	10	28	128	37	20	0	100%	2.8	28.9%	15.6%	13.3%	0.0%	2.22	2.61	—
2025	23	MIX MLE	2 levels	16	16	56	277	62	43	2	100%	3.5	17.1%	17.8%	-0.7%	1.1%	6.95	4.49	—
2025	23	MIX MLE	2 levels	16	16	56	277	62	43	2	100%	3.5	17.1%	17.8%	-0.7%	1.1%	6.95	4.49	—
2025	23	MIX RAW	2 levels	16	16	56	277	62	43	2	100%	3.5	22.4%	15.5%	6.9%	0.7%	6.95	3.66	—
▸ 2026 season
YTD	24	AA MLE	Tulsa Drillers	20	0	22	128	32	34	1	0%	1.1	16.4%	33.3%	-17.0%	1.2%	10.48	6.61	—
YTD	24	AA MLE	Tulsa Drillers	20	0	22	128	32	34	1	0%	1.1	16.4%	33.3%	-17.0%	1.2%	10.48	6.61	—
▸ 2026 season — so far · projected rest · full
2026	24	A+ RAW	LAD	5	0	7	29	12	4	0	0%	1.3	41.4%	13.8%	27.6%	0.0%	0.00	1.35	—
2026	24	AA RAW	LAD	15	0	16	99	20	30	1	0%	1.0	20.2%	30.3%	-10.1%	1.0%	14.94	5.79	—
ROS	24	MLB MLE	LAD	5	0	5	22	4	4	1	0%	1.0	18.0%	20.0%	-2.1%	2.5%	5.90	5.90	-0.1
2026 TOT	24	MLB MLE	LAD	—	—	28	150	36	38	2	—	—	24.0%	25.6%	-1.6%	1.0%	9.62	6.47	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	LAD	10	10	58	244	46	43	6	100%	5.8	18.9%	17.5%	1.4%	2.6%	5.60	5.51	-0.4
2028	26	MLB MLE	LAD	10	10	58	244	47	41	6	100%	5.8	19.4%	16.8%	2.6%	2.6%	5.44	5.40	-0.3
2029	27	MLB MLE	LAD	9	9	57	240	47	40	6	100%	6.3	19.6%	16.5%	3.1%	2.7%	5.38	5.38	-0.3
2030	28	MLB MLE	LAD	9	9	55	233	46	38	6	100%	6.1	19.6%	16.5%	3.1%	2.8%	5.41	5.44	-0.3
2027	25	MLB CTX	LAD	4	4	25	106	20	18	3	100%	6.2	18.9%	17.5%	1.4%	2.6%	5.60	5.51	-0.2
2028	26	MLB CTX	LAD	6	6	39	165	32	28	4	100%	6.5	19.4%	16.8%	2.6%	2.6%	5.44	5.40	-0.2
2029	27	MLB CTX	LAD	7	7	44	186	36	31	5	100%	6.3	19.6%	16.5%	3.1%	2.7%	5.38	5.38	-0.2
2030	28	MLB CTX	LAD	8	8	47	198	39	33	6	100%	5.9	19.6%	16.5%	3.1%	2.8%	5.41	5.44	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		26	26	155	654	127	109	17	100%	6.0	19.4%	16.7%	2.7%	2.7%	5.44	5.05	-0.3
/ 200 IP	—	RAW		34	33	200	844	164	141	22	100%	6.0	19.4%	16.7%	2.7%	2.7%	5.44	5.05	-0.3
Career	—	MLE		97	77	253	1209	247	253	17	79%	2.6	20.5%	20.9%	-0.4%	1.4%	5.56	4.78	-1.5
/ 200 IP	—	MLE		77	61	200	957	196	200	13	79%	2.6	20.5%	20.9%	-0.4%	1.4%	5.56	4.78	-1.2

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
Maddux Bruns (OGILVIE)	—	—	5.90	18.0%	20.0%	2.5%	—	5.43	19.3%	2.4%	172	-0.47	—	—	—
Bryce Hubbart L 2023 · 5.87 FIP	22	SW	5.87	17.0%	26.0%	1.7%	.303	5.32	17.8%	4.0%	148	-0.55	4.79	193	80
Larson Kindreich L 2023 · 5.29 FIP	24	SW	5.29	21.5%	18.8%	3.0%	.269	4.68	23.0%	9.0%	79	-0.61	4.16	214	80
Noah Dean L 2023 · 5.83 FIP	22	SP-	5.83	21.1%	28.1%	1.7%	.343	5.14	23.3%	4.2%	154	-0.69	4.41	217	79
Seth Lonsway L 2023 · 5.20 FIP	24	SP-	5.20	13.8%	15.3%	2.4%	.317	4.17	15.2%	4.4%	313	-1.03	3.35	498	78
Dante Biasi L 2022 · 4.91 FIP	24	SP-	4.91	18.7%	15.9%	2.5%	.288	6.65	20.1%	1.7%	69	+1.74	4.91	224	74
Brooks Gosswein L 2023 · 5.61 FIP	24	SP-	5.61	15.2%	17.9%	2.8%	.301	—	—	—	—	—	5.13	165	73
Jake Miller L 2023 · 5.50 FIP	22	SP-	5.50	17.2%	14.1%	3.8%	.345	3.04	22.5%	16.3%	99	-2.46	3.00	143	70
Tyler Matzek L 2015 · 5.49 FIP	24	SW	5.49	17.7%	23.2%	1.7%	.256	4.73	22.2%	0.9%	21	-0.76	1.60	190	70
Franklyn Soriano L 2019 · 5.01 FIP	24	SP-	5.01	13.2%	17.5%	1.5%	.209	—	—	—	—	—	2.82	241	69
Matt Imhof L 2016 · 5.68 FIP	22	SP-	5.68	15.9%	21.3%	2.2%	.277	—	—	—	—	—	5.13	131	69
Nathan Kirby L 2018 · 5.12 FIP	24	SW	5.12	17.7%	16.2%	2.7%	.318	3.84	25.3%	8.7%	38	-1.28	3.84	145	69
Mason Green L 2023 · 5.28 FIP	24	SW	5.28	17.9%	16.7%	2.9%	.278	4.24	18.4%	6.3%	262	-1.04	3.68	448	68
Joel Valdez L 2023 · 5.73 FIP	23	SP-	5.73	17.1%	17.4%	3.4%	.266	3.42	22.0%	10.0%	116	-2.31	2.84	324	68
Joe Adametz L 2023 · 5.89 FIP	23	SW	5.89	19.0%	15.0%	4.5%	.158	4.32	14.8%	5.5%	224	-1.57	3.66	248	67
Liam Sullivan L 2023 · 5.78 FIP	21	SP	5.78	25.7%	20.5%	4.1%	.290	5.79	20.9%	7.2%	141	+0.01	4.45	156	66
Irwin Delgado L 2015 · 4.77 FIP	26	SW	4.77	14.4%	9.6%	3.0%	.349	3.53	16.2%	7.6%	237	-1.24	3.52	383	64
Bodi Rascon L 2023 · 4.92 FIP	22	SP	4.92	17.5%	14.5%	2.7%	.264	5.66	11.5%	-8.3%	43	+0.74	4.18	218	64
Dominic Perachi L 2023 · 5.19 FIP	22	SP-	5.19	17.5%	13.9%	3.3%	.324	3.80	17.1%	6.8%	186	-1.39	3.33	277	64
Mike Kickham L 2015 · 6.80 FIP	26	SW	6.80	10.4%	27.2%	2.1%	.222	3.62	16.6%	12.0%	194	-3.18	3.00	368	63
Doug Nikhazy L 2023 · 5.39 FIP	23	SP	5.39	21.9%	16.9%	3.6%	.304	4.73	19.6%	8.6%	256	-0.66	4.16	461	63

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	1.4	57	19.1%	17.5%	1.02	5.55
Touki Toussaint ('24)	1.4	40	23.1%	14.1%	1.25	5.39
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99
John Gant ('21)	1.7	85	20.1%	12.5%	0.79	3.91