Brooks Auger — OGILVIE

Brooks Auger P Great Lakes Loons

Age 24 RHP 6'5" / 215 lbs A+ Svc 0.0 · Ctrl thru 2033 peak 0.7 · 2030

2026 ROS PROJECTION60 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 137129vR 120

ERA5.45

FIP5.45

K%12.8%

BB%11.6%

K-BB%1.2%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 66 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Grades · Contract

Scouting Grades

OFP—40

STUF4050

CMD3050

K†3045

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$1M	—	—	—
2032	Arb-2	$1M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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)
2025	23	A+ MLE	Great Lakes Loons	22	17	91	398	61	41	8	77%	4.2	11.8%	11.8%	-0.0%	2.5%	5.12	4.99	—
2025	23	A+ MLE	Great Lakes Loons	22	17	91	398	61	41	8	77%	4.2	11.8%	11.8%	-0.0%	2.5%	5.12	4.99	—
2025	23	A+ RAW	Great Lakes Loons	22	17	91	398	61	41	8	77%	4.2	15.3%	10.3%	5.0%	2.0%	5.12	4.25	—
▸ 2026 season
YTD	24	A+ MLE	Great Lakes Loons	17	17	60	254	85	32	5	100%	3.5	25.8%	14.5%	11.3%	2.5%	3.62	4.11	—
YTD	24	A+ MLE	Great Lakes Loons	17	17	60	254	85	32	5	100%	3.5	25.8%	14.5%	11.3%	2.5%	3.62	4.11	—
▸ 2026 season — so far · projected rest · full
2026	24	A+ RAW	LAD	17	17	60	254	85	32	5	100%	3.5	33.5%	12.6%	20.9%	2.0%	3.62	2.95	—
ROS	24	MLB MLE	LAD	1	1	6	26	3	3	1	100%	6.1	12.8%	11.6%	1.2%	2.9%	5.45	5.45	-0.0
2026 TOT	24	MLB MLE	LAD	—	—	66	280	88	35	6	—	—	31.6%	12.5%	19.1%	2.1%	3.79	4.23	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	LAD	14	14	83	351	54	37	10	100%	5.9	15.4%	10.6%	4.8%	2.9%	5.19	5.10	-0.2
2028	26	MLB MLE	LAD	14	14	83	351	60	36	10	100%	5.9	17.0%	10.3%	6.7%	2.9%	5.01	4.93	-0.0
2029	27	MLB MLE	LAD	14	14	82	346	60	36	10	100%	5.9	17.3%	10.3%	7.0%	2.9%	4.95	4.94	-0.0
2030	28	MLB MLE	LAD	13	13	80	336	65	32	10	100%	6.1	19.3%	9.6%	9.7%	3.0%	4.81	4.73	+0.2
2031	29	MLB MLE	LAD	13	13	76	320	61	31	10	100%	5.8	19.0%	9.8%	9.2%	3.2%	4.84	4.87	+0.0
2032	30	MLB MLE	LAD	12	12	71	301	56	30	10	100%	5.9	18.7%	10.1%	8.6%	3.4%	4.96	5.04	-0.1
2027	25	MLB CTX	LAD	6	6	36	152	23	16	5	100%	6.0	15.4%	10.6%	4.8%	3.0%	5.26	5.17	-0.1
2028	26	MLB CTX	LAD	9	9	55	232	40	24	7	100%	6.1	17.0%	10.3%	6.7%	3.0%	5.08	5.00	-0.0
2029	27	MLB CTX	LAD	10	10	63	266	46	27	8	100%	6.3	17.3%	10.3%	7.0%	3.1%	5.02	5.01	-0.0
2030	28	MLB CTX	LAD	11	11	67	283	55	27	9	100%	6.1	19.3%	9.6%	9.7%	3.2%	4.88	4.80	+0.1
2031	29	MLB CTX	LAD	11	11	66	279	53	27	9	100%	6.0	19.0%	9.8%	9.2%	3.3%	4.91	4.94	+0.0
2032	30	MLB CTX	LAD	11	11	64	270	50	27	10	100%	5.8	18.7%	10.1%	8.6%	3.5%	5.04	5.12	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		59	59	352	1486	268	149	48	100%	6.0	18.0%	10.1%	8.0%	3.2%	5.01	4.61	+1.2
/ 200 IP	—	RAW		33	33	200	844	152	85	27	100%	6.0	18.0%	10.1%	8.0%	3.2%	5.01	4.61	+0.7
Career	—	MLE		39	34	151	652	112	84	16	87%	3.9	17.2%	12.9%	4.4%	2.5%	4.53	4.65	-0.2
/ 200 IP	—	MLE		52	45	200	864	149	111	22	87%	3.9	17.2%	12.9%	4.4%	2.5%	4.53	4.65	-0.1

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
Brooks Auger (OGILVIE)	—	—	5.45	12.8%	11.6%	2.9%	—	4.99	16.6%	6.2%	248	-0.46	—	—	—
Drew McDaniel R 2023 · 4.71 FIP	22	SP	4.71	14.1%	9.1%	3.0%	.323	5.08	18.7%	8.7%	152	+0.37	4.24	230	84
Ryan Harvey R 2023 · 5.20 FIP	22	SP	5.20	16.7%	13.1%	3.4%	.294	4.50	17.0%	5.9%	87	-0.70	4.08	133	83
Bradley Brehmer R 2023 · 4.43 FIP	23	SP	4.43	14.6%	9.5%	2.5%	.349	3.27	20.0%	11.5%	94	-1.16	2.83	165	83
Chris McElvain R 2023 · 4.76 FIP	22	SP	4.76	15.8%	11.6%	2.8%	.275	5.24	15.8%	4.7%	198	+0.48	4.07	294	83
Patrick McGuff R 2018 · 4.30 FIP	24	SP	4.30	12.0%	10.4%	1.6%	.302	—	—	—	—	—	2.81	133	82
Chris Kachmar R 2021 · 4.29 FIP	24	SP	4.29	16.1%	11.4%	2.0%	.309	4.61	18.4%	9.4%	172	+0.32	4.29	360	81
Jarred Cosart R 2015 · 5.07 FIP	25	SP	5.07	15.2%	10.8%	3.4%	.274	4.94	13.1%	-0.5%	132	-0.13	4.10	218	81
Will Rudy R 2023 · 4.76 FIP	22	SP	4.76	15.2%	9.2%	3.3%	.299	5.28	17.4%	8.6%	113	+0.52	4.76	194	80
Garrett Burhenn R 2023 · 4.39 FIP	23	SP-	4.39	13.5%	8.4%	2.5%	.312	4.36	18.1%	10.2%	247	-0.03	4.30	433	80
James Proctor R 2022 · 4.39 FIP	24	SP	4.39	14.0%	12.5%	1.6%	.307	—	—	—	—	—	3.99	109	80
Ben Anderson R 2022 · 4.59 FIP	24	SP	4.59	13.0%	12.0%	1.9%	.270	4.32	14.3%	6.0%	217	-0.27	3.80	399	80
Stolmy Pimentel R 2015 · 4.47 FIP	25	SP-	4.47	16.0%	10.5%	2.5%	.338	3.87	13.6%	3.1%	72	-0.60	3.87	143	79
Henry Williams R 2023 · 5.59 FIP	21	SP	5.59	16.5%	14.2%	3.8%	.271	4.67	16.8%	7.0%	338	-0.92	4.16	404	79
Riley Thompson R 2019 · 4.69 FIP	23	SP	4.69	16.5%	9.4%	3.3%	.288	5.32	21.7%	7.0%	57	+0.63	4.53	340	79
Logan Shore R 2019 · 4.46 FIP	24	SP-	4.46	11.5%	10.5%	1.8%	.274	4.87	16.7%	6.3%	125	+0.41	3.09	386	79
J.P. Massey R 2023 · 4.95 FIP	23	SP	4.95	18.2%	16.0%	2.5%	.259	5.12	15.9%	0.6%	115	+0.17	4.72	195	78
Jake Madden R 2023 · 5.46 FIP	21	SP	5.46	15.9%	15.2%	3.2%	.299	4.57	14.1%	-1.1%	44	-0.89	4.57	123	78
J.P. France R 2019 · 5.32 FIP	24	SP-	5.32	17.9%	13.9%	3.6%	.285	4.24	26.3%	15.2%	225	-1.08	4.04	577	78
Paxton Schultz R 2022 · 5.27 FIP	24	SP-	5.27	17.5%	12.2%	3.8%	.293	4.36	21.3%	11.3%	274	-0.91	3.90	538	78
David Lebron R 2019 · 4.28 FIP	25	SP-	4.28	18.6%	14.2%	1.7%	.336	5.56	26.7%	12.0%	62	+1.28	4.28	144	78

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	2.7	77	17.1%	10.3%	1.17	5.02
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38