Daniel Brooks

P Augusta GreenJackets

Age 24 RHP A peak 0.3 · 2028

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	23	MIX3 levels	25	4	50	1.81	1.39	37.8%	8.3%	—	K 26.4% · BB 10.8% · FIP 2.69
2027PROJ	24	MLBATL	22	0	23	4.15	4.15	26.3%	10.4%	0.1
2028PROJ43% MLB	25	MLBATL	18	0	19	4.11	4.07	26.4%	9.9%	0.1
2029PROJ66% MLB	26	MLBATL	29	0	30	4.09	4.07	26.4%	9.8%	0.2

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsGarrett Mock (age 25) · Grant Balfour (age 25) · Jonathan Papelbon (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 112104vR 96

ERA4.15

FIP4.15

K%26.3%

BB%10.4%

K-BB%15.9%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 IP

Grades · Contract

Scouting Grades

K†6060

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 + 2027 so far)
2026	23	MIX MLE	3 levels	25	4	50	193	73	16	1	16%	2.0	26.4%	10.8%	15.6%	0.8%	1.81	2.69	—
2026	23	MIX MLE	3 levels	25	4	50	193	73	16	1	16%	2.0	26.4%	10.8%	15.6%	0.8%	1.81	2.69	—
2026	23	MIX RAW	3 levels	25	4	50	193	73	16	1	16%	2.0	37.8%	8.3%	29.5%	0.5%	1.81	1.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	ATL	22	0	23	97	26	10	3	0%	1.0	26.3%	10.4%	15.9%	2.9%	4.15	4.15	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	ATL	43	0	45	191	51	19	5	0%	1.1	26.4%	9.9%	16.5%	2.9%	4.11	4.07	+0.3
2029	26	MLB MLE	ATL	43	0	45	191	50	19	5	0%	1.1	26.4%	9.8%	16.6%	2.9%	4.09	4.07	+0.3
2030	27	MLB MLE	ATL	42	0	45	188	49	19	6	0%	1.1	26.2%	9.8%	16.4%	2.9%	4.11	4.12	+0.2
2028	25	MLB CTX	ATL	18	0	19	80	21	8	2	0%	1.1	26.4%	9.9%	16.5%	2.9%	4.11	4.07	+0.1
2029	26	MLB CTX	ATL	29	0	30	127	33	12	4	0%	1.0	26.4%	9.8%	16.6%	2.9%	4.09	4.07	+0.2
2030	27	MLB CTX	ATL	32	0	34	144	38	14	4	0%	1.1	26.2%	9.8%	16.4%	2.9%	4.11	4.12	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		80	0	84	354	93	35	10	0%	1.0	26.3%	9.8%	16.5%	2.9%	4.10	3.71	+0.8
/ 200 IP	—	RAW		190	0	200	844	222	83	24	0%	1.0	26.3%	9.8%	16.5%	2.9%	4.10	3.71	+2.0
Career	—	MLE		25	4	50	193	51	21	2	16%	2.0	26.4%	10.8%	15.6%	0.8%	1.81	2.69	+0.7
/ 200 IP	—	MLE		101	16	200	777	206	84	6	16%	2.0	26.4%	10.8%	15.6%	0.8%	1.81	2.69	+1.1

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
Daniel Brooks (OGILVIE)	—	—	4.15	26.3%	10.4%	2.9%	—	4.09	26.3%	16.5%	135	-0.06	—	—	—
Garrett Mock R 2008 · 3.57 FIP	25	SU	3.57	25.6%	11.1%	2.2%	.300	4.06	17.1%	7.4%	91	+0.49	3.57	132	90
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	89
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	86
Stolmy Pimentel R 2014 · 4.13 FIP	24	SU	4.13	25.7%	9.5%	3.6%	.319	4.17	14.8%	4.3%	143	+0.04	3.87	176	85
Nolan Clenney R 2021 · 3.73 FIP	25	SU	3.73	25.5%	8.4%	3.1%	.340	4.35	22.4%	13.7%	185	+0.62	3.73	223	84
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	83
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	83
Zac Leigh R 2022 · 3.70 FIP	24	SU	3.70	28.5%	12.3%	2.6%	.270	4.45	21.7%	5.8%	130	+0.75	3.70	201	83
Eli Villalobos R 2021 · 3.75 FIP	24	SU	3.75	28.1%	9.6%	3.3%	.337	4.85	22.9%	9.9%	153	+1.10	3.75	214	83
Matt Seelinger R 2019 · 3.13 FIP	24	SU	3.13	27.9%	10.3%	2.0%	.358	4.78	24.9%	9.1%	103	+1.65	3.13	371	82
Mitchell Stumpo R 2021 · 3.97 FIP	25	SU	3.97	25.6%	8.0%	3.7%	.299	5.27	22.4%	6.8%	121	+1.30	3.97	158	82
Lucas Wepf R 2024 · 3.80 FIP	24	SU	3.80	27.4%	10.9%	3.0%	.304	4.09	25.4%	11.8%	80	+0.29	2.90	195	82
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	82
Ryan Conroy R 2021 · 4.01 FIP	24	SU	4.01	22.2%	9.8%	2.8%	.353	4.75	19.3%	6.7%	54	+0.74	4.01	106	81
Steven Wilson R 2019 · 3.99 FIP	24	SU	3.99	27.2%	10.7%	3.3%	.271	3.81	29.3%	19.9%	92	-0.18	3.64	331	81
Kyle Schepel R 2015 · 4.63 FIP	24	SU	4.63	23.1%	10.7%	3.9%	.233	3.64	22.1%	10.4%	120	-0.99	3.54	156	81
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	81
Joshua Loeschorn R 2023 · 3.86 FIP	23	SU	3.86	24.5%	7.7%	3.4%	.272	4.43	17.1%	8.4%	83	+0.57	3.08	151	81
Trey McLoughlin R 2023 · 3.79 FIP	24	SU	3.79	23.7%	8.4%	3.0%	.295	4.55	20.8%	8.6%	123	+0.76	3.77	245	80
Fineas Del Bonta-Smith R 2021 · 3.52 FIP	24	SU	3.52	23.4%	8.2%	2.5%	.262	6.05	20.5%	11.4%	128	+2.53	3.52	207	80

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.8	40	26.3%	9.9%	1.12	4.11
Danny Farquhar ('18)	1.4	54	26.9%	9.2%	0.99	3.93
Colin Poche ('25)	1.1	54	26.7%	10.2%	1.32	4.01
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*
Buddy Schultz ('75-'79, 2 WAR*)	1.2	60	27.4%*	8.5%*	1.21*	4.14*
Carlos Diaz ('82-'86, 2 WAR*)	1.3	52	25.1%*	8.7%*	0.91*	3.84*