Cam Padgett

P Salem RidgeYaks

Age 23 RHP A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	22	ABOS	6	1	14	3.14	3.24	25.8%	11.3%	—	K 19.1% · BB 13.3% · FIP 4.33
2027PROJ	23	MLBBOS	8	0	8	4.71	4.71	22.0%	11.5%	-0.0
2028PROJ43% MLB	24	MLBBOS	9	0	9	4.58	4.52	22.7%	10.6%	0.0

Next 2 projected WAR -0.0Projected 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 97%

CompsLuis Romero (age 23) · Trent Fennell (age 23) · Jonathan Papelbon (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 106

ERA4.71

FIP4.71

K%22.0%

BB%11.5%

K-BB%10.4%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

K†5055

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	22	A MLE	Salem RidgeYaks	6	1	14	62	16	7	1	17%	2.4	19.1%	13.3%	5.8%	2.1%	3.14	4.33	—
2026	22	A MLE	Salem RidgeYaks	6	1	14	62	16	7	1	17%	2.4	19.1%	13.3%	5.8%	2.1%	3.14	4.33	—
2026	22	A RAW	Salem RidgeYaks	6	1	14	62	16	7	1	17%	2.4	25.8%	11.3%	14.5%	1.6%	3.14	3.24	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	BOS	8	0	8	34	7	4	1	0%	1.0	22.0%	11.5%	10.4%	3.0%	4.71	4.71	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	BOS	19	0	20	84	19	9	2	0%	1.1	22.7%	10.6%	12.1%	2.9%	4.58	4.52	+0.0
2028	24	MLB CTX	BOS	9	0	9	38	9	4	1	0%	1.0	22.7%	10.6%	12.1%	2.9%	4.58	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	4	1	0%	1.1	22.7%	10.6%	12.1%	2.9%	4.58	4.14	+0.0
/ 200 IP	—	RAW		190	0	200	844	187	94	23	0%	1.1	22.7%	10.6%	12.1%	2.9%	4.58	4.14	+1.0
Career	—	MLE		6	1	14	62	12	8	1	17%	2.4	19.1%	13.3%	5.8%	2.1%	3.14	4.33	+0.0
/ 200 IP	—	MLE		84	14	200	865	165	115	18	17%	2.4	19.1%	13.3%	5.8%	2.1%	3.14	4.33	+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
Cam Padgett (OGILVIE)	—	—	4.71	22.0%	11.5%	3.0%	—	4.52	22.7%	12.1%	20	-0.19	—	—	—
Luis Romero R 2017 · 5.00 FIP	23	SU	5.00	22.1%	11.9%	4.1%	.367	4.26	21.6%	12.5%	132	-0.74	4.00	293	86
Trent Fennell R 2019 · 4.08 FIP	23	SW	4.08	20.6%	12.2%	2.1%	.328	5.52	19.4%	3.5%	107	+1.44	4.08	163	85
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	84
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	84
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	83
Yunior Montero R 2016 · 3.65 FIP	23	SW	3.65	21.9%	11.9%	1.6%	.239	5.21	21.3%	3.7%	54	+1.56	3.65	127	83
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	82
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	81
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	81
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
Tyler Santana R 2021 · 4.28 FIP	23	SU	4.28	20.3%	15.1%	1.8%	.333	4.37	16.0%	5.7%	259	+0.09	3.37	401	81
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	81
Alec Barger R 2021 · 4.55 FIP	23	SW	4.55	21.7%	13.6%	2.8%	.289	4.17	21.3%	9.4%	148	-0.38	3.85	242	81
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	80
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	80
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	80
Ben Anderson R 2021 · 4.84 FIP	23	SW	4.84	19.8%	9.4%	4.0%	.309	4.02	16.2%	7.7%	147	-0.82	3.80	399	80
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	80
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	80
Brandon Beckel R 2024 · 3.75 FIP	22	SU	3.75	19.4%	10.3%	1.8%	.250	4.23	19.5%	10.5%	147	+0.48	3.75	194	80