Braden Scott

P Columbus Clingstones

Age 29 LHP 6'3" / 215 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	MIX3 levels	36	0	61	5.34	4.50	31.6%	12.8%	—	K 24.4% · BB 14.4% · FIP 5.61
2023	25	A+TOR	8	0	8	9.00	7.85	26.8%	17.1%	—	K 26.8% · BB 17.1% · FIP 7.01
2026	28	AAATL	9	8	40	4.54	5.02	23.1%	15.0%	—	K 18.7% · BB 16.5% · FIP 5.90
2027PROJ	29	MLBATL	22	0	23	5.46	5.46	19.9%	14.9%	-0.2
2028PROJ31% MLB	30	MLBATL	7	0	7	5.45	5.52	19.9%	14.7%	-0.1

Next 2 projected WAR -0.3Projected 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 100%

CompsJohn Rheinecker (age 28) · Stephen Randolph (age 29) · Kelvin Marte (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121129vR 137

ERA5.46

FIP5.46

K%19.9%

BB%14.9%

K-BB%4.9%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 IP

Grades · Contract

Scouting Grades

K†4545

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)
2022	24	MIX MLE	3 levels	36	0	61	288	91	37	12	0%	1.7	24.4%	14.4%	10.0%	5.0%	5.34	5.61	—
2022	24	MIX RAW	3 levels	36	0	61	288	91	37	12	0%	1.7	31.6%	12.8%	18.8%	4.2%	5.34	4.50	—
2023	25	A+ MLE	Vancouver Canadians	8	0	8	41	11	7	3	0%	1.0	26.8%	17.1%	9.8%	7.3%	9.00	7.01	—
2023	25	A+ RAW	Vancouver Canadians	8	0	8	41	11	7	3	0%	1.0	26.8%	17.1%	9.8%	7.3%	9.00	7.85	—
2026	28	AA MLE	Columbus Clingstones	9	8	40	173	40	26	6	89%	4.4	18.7%	16.5%	2.2%	4.2%	4.54	5.90	—
2026	28	AA MLE	Columbus Clingstones	9	8	40	173	40	26	6	89%	4.4	18.7%	16.5%	2.2%	4.2%	4.54	5.90	—
2026	28	AA RAW	Columbus Clingstones	9	8	40	173	40	26	6	89%	4.4	23.1%	15.0%	8.1%	3.5%	4.54	5.02	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	ATL	22	0	23	97	19	15	3	0%	1.0	19.9%	14.9%	4.9%	3.2%	5.46	5.46	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	ATL	21	0	22	92	18	13	3	0%	1.0	19.9%	14.7%	5.2%	3.4%	5.45	5.52	-0.2
2028	30	MLB CTX	ATL	7	0	7	30	6	4	1	0%	1.0	19.9%	14.7%	5.2%	3.4%	5.45	5.52	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	7	29	6	4	1	0%	1.1	19.9%	14.7%	5.2%	3.4%	5.45	5.14	-0.0
/ 200 IP	—	RAW		190	0	200	844	177	118	29	0%	1.1	19.9%	14.7%	5.2%	3.4%	5.45	5.14	-1.4
Career	—	MLE		53	8	108	502	114	77	25	15%	2.0	22.6%	15.3%	7.3%	4.9%	5.32	5.82	-0.2
/ 200 IP	—	MLE		98	15	200	927	210	142	45	15%	2.0	22.6%	15.3%	7.3%	4.9%	5.32	5.82	-2.2

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
Braden Scott (OGILVIE)	—	—	5.46	19.9%	14.9%	3.2%	—	5.52	19.9%	5.2%	22	+0.06	—	—	—
John Rheinecker L 2007 · 5.13 FIP	28	SW	5.13	16.7%	10.9%	3.8%	.317	—	—	—	—	—	4.14	121	74
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	72
Kelvin Marte L 2017 · 4.74 FIP	29	SW	4.74	16.1%	11.4%	2.8%	.300	5.25	12.0%	1.2%	71	+0.51	3.44	360	71
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	71
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	70
Randy Keisler L 2005 · 5.07 FIP	29	SW	5.07	16.4%	9.9%	3.8%	.295	5.51	6.5%	0.0%	17	+0.44	5.07	135	70
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	69
Braulio Lara L 2017 · 5.80 FIP	28	SU	5.80	19.8%	17.8%	3.9%	.361	—	—	—	—	—	3.96	118	68
Ron Mahay L 2000 · 6.03 FIP	29	SU	6.03	16.1%	12.1%	5.0%	.353	4.58	22.4%	12.1%	81	-1.45	3.14	568	67
Tyler Alexander L 2021 · 5.27 FIP	29	SW	5.27	15.7%	10.7%	3.9%	.272	—	—	—	—	—	5.27	128	66
Phil Pfeifer L 2021 · 5.65 FIP	29	SW	5.65	19.5%	14.8%	4.2%	.394	—	—	—	—	—	3.61	307	65
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	65
Bryan Harper L 2018 · 4.63 FIP	28	SU	4.63	14.9%	13.9%	1.9%	.288	—	—	—	—	—	4.13	133	64
Jordan Norberto L 2015 · 4.30 FIP	28	SU	4.30	16.9%	14.1%	1.5%	.307	—	—	—	—	—	3.89	117	64
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	64
Eric DuBose L 2005 · 5.45 FIP	29	SW	5.45	12.6%	14.1%	3.0%	.253	—	—	—	—	—	3.92	178	64
Luke Westphal L 2016 · 4.69 FIP	27	SU	4.69	21.2%	19.7%	1.6%	.353	—	—	—	—	—	2.97	294	63
Ashur Tolliver L 2017 · 5.03 FIP	29	SU	5.03	13.8%	18.9%	1.3%	.319	—	—	—	—	—	3.49	134	62
Robby Scott L 2019 · 5.59 FIP	29	SU	5.59	23.9%	15.9%	4.5%	.267	—	—	—	—	—	2.39	285	62
Hector Mercado L 2003 · 6.59 FIP	29	SU	6.59	17.4%	14.0%	5.8%	.241	—	—	—	—	—	3.47	125	62