Bayden Root

P Wisconsin Timber Rattlers

Age 28 RHP 6'3" / 235 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	24	MIX2 levels	7	7	1.35	1.90	25.9%	7.4%	—	K 25.9% · BB 7.4% · FIP 1.85
2024	25	MIX2 levels	41	53	3.71	2.73	24.8%	13.8%	—	K 18.8% · BB 16.1% · FIP 3.55
2025	26	MIX2 levels	33	54	4.47	3.43	20.6%	8.8%	—	K 16.6% · BB 9.8% · FIP 3.77
2027PROJ	28	MLBMIL	56	59	5.12	5.12	17.0%	12.1%	-0.4
2028PROJ30% MLB	29	MLBMIL	16	17	5.11	5.17	17.4%	12.0%	-0.1
2029PROJ51% MLB	30	MLBMIL	26	27	5.19	5.28	17.5%	12.1%	-0.2

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control50Command40

CompsSpencer Bivens (age 28) · Wirfin Obispo (age 30) · Luis Mateo (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA5.12

FIP5.12

K%17.0%

BB%12.1%

K-BB%4.9%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL5050

CMD4040

K†4040

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)
2023	24	MIX MLE	2 levels	7	0	7	27	7	2	0	0%	1.0	25.9%	7.4%	18.5%	0.0%	1.35	1.85	—
2023	24	MIX RAW	2 levels	7	0	7	27	7	2	0	0%	1.0	25.9%	7.4%	18.5%	0.0%	1.35	1.90	—
2024	25	MIX MLE	2 levels	41	0	53	246	61	34	0	0%	1.3	18.8%	16.1%	2.7%	0.0%	3.71	3.55	—
2024	25	MIX MLE	2 levels	41	0	53	246	61	34	0	0%	1.3	18.8%	16.1%	2.7%	0.0%	3.71	3.55	—
2024	25	MIX RAW	2 levels	41	0	53	246	61	34	0	0%	1.3	24.8%	13.8%	11.0%	0.0%	3.71	2.73	—
2025	26	MIX MLE	2 levels	33	0	54	228	47	20	4	0%	1.6	16.6%	9.8%	6.8%	1.5%	4.47	3.77	—
2025	26	MIX MLE	2 levels	33	0	54	228	47	20	4	0%	1.6	16.6%	9.8%	6.8%	1.5%	4.47	3.77	—
2025	26	MIX RAW	2 levels	33	0	54	228	47	20	4	0%	1.6	20.6%	8.8%	11.8%	1.8%	4.47	3.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	MIL	56	0	59	249	42	30	7	0%	1.1	17.0%	12.1%	4.9%	2.8%	5.12	5.12	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	MIL	54	0	56	237	41	29	7	0%	1.0	17.4%	12.0%	5.3%	3.0%	5.11	5.17	-0.4
2029	30	MLB MLE	MIL	50	0	53	223	39	27	7	0%	1.1	17.5%	12.1%	5.4%	3.2%	5.19	5.28	-0.4
2028	29	MLB CTX	MIL	16	0	17	72	12	9	2	0%	1.1	17.4%	12.0%	5.3%	3.0%	5.11	5.17	-0.1
2029	30	MLB CTX	MIL	26	0	27	114	20	14	4	0%	1.0	17.5%	12.1%	5.4%	3.2%	5.19	5.28	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		42	0	44	185	32	22	6	0%	1.0	17.4%	12.1%	5.4%	3.1%	5.16	4.86	-0.2
/ 200 IP	—	RAW		190	0	200	844	146	101	27	0%	1.1	17.4%	12.1%	5.4%	3.1%	5.16	4.86	-0.7
Career	—	MLE		81	0	114	501	91	64	3	0%	1.4	18.2%	12.8%	5.4%	0.7%	3.94	3.56	-0.9
/ 200 IP	—	MLE		142	0	200	876	159	112	6	0%	1.4	18.2%	12.8%	5.4%	0.7%	3.94	3.56	-1.6

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
Bayden Root (OGILVIE)	—	—	5.12	17.0%	12.1%	2.8%	—	5.22	17.4%	5.4%	109	+0.10	—	—	—
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	88
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	87
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	86
Kevin Gryboski R 2002 · 5.02 FIP	28	SU	5.02	13.9%	13.4%	2.5%	.263	3.83	12.0%	2.9%	126	-1.19	3.67	178	86
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	86
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	85
Tyler Walker R 2004 · 4.28 FIP	28	SU	4.28	17.5%	8.4%	2.9%	.311	3.77	18.5%	10.4%	101	-0.51	2.38	289	85
Jose Veras R 2009 · 5.13 FIP	28	SU	5.13	17.8%	12.4%	3.6%	.228	3.57	26.3%	14.0%	186	-1.56	3.37	422	85
Drew Hayes R 2016 · 3.99 FIP	28	SU	3.99	13.8%	10.1%	1.4%	.302	—	—	—	—	—	3.35	117	85
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	84
David Goforth R 2017 · 5.09 FIP	28	SU	5.09	13.6%	10.2%	3.4%	.282	4.07	14.1%	5.5%	68	-1.02	3.98	256	84
Erik Davis R 2015 · 3.95 FIP	28	SU	3.95	17.9%	13.5%	1.2%	.363	3.64	21.1%	11.3%	181	-0.31	3.05	227	83
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	83
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	82
Greg Burke R 2009 · 3.93 FIP	26	SU	3.93	16.2%	8.8%	2.0%	.295	—	—	—	—	—	3.61	139	82
Gregory Infante R 2015 · 4.54 FIP	28	SU	4.54	16.9%	15.7%	1.6%	.290	3.78	21.3%	12.7%	181	-0.76	2.97	230	82
Jhan Mariñez R 2017 · 3.97 FIP	28	SU	3.97	17.2%	8.8%	2.2%	.309	4.09	21.2%	13.3%	48	+0.12	3.16	253	82
Logan Bawcom R 2017 · 4.06 FIP	28	SU	4.06	18.2%	10.7%	2.1%	.298	5.19	15.0%	6.4%	164	+1.13	3.73	399	82
Eder Llamas R 2015 · 4.84 FIP	29	SU	4.84	12.3%	8.8%	3.0%	.261	3.64	11.3%	4.6%	120	-1.20	3.23	171	82
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	82

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	56	17.3%	12.1%	1.15	5.14
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*