Bryan Pope

P Everett AquaSox

Age 28 RHP 6'2" / 215 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	23	ASTL	26	7	61	3.96	3.39	18.7%	5.1%	—	K 13.8% · BB 6.1% · FIP 4.48
2023	24	MIX2 levels	39	0	64	3.08	3.26	24.6%	8.5%	—	K 19.4% · BB 9.5% · FIP 3.96
2024	25	A+SEA	20	0	22	7.36	4.92	16.5%	11.3%	—	K 12.7% · BB 13.0% · FIP 5.20
2027PROJ	28	MLBSEA	12	0	13	4.62	4.62	21.4%	10.3%	-0.0
2028PROJ30% MLB	29	MLBSEA	6	0	6	4.67	4.72	21.4%	10.4%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Jim Miller (age 30) · Wirfin Obispo (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.62

FIP4.62

K%21.4%

BB%10.3%

K-BB%11.1%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Contract

Scouting Grades

K†5050

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)
2021	22	ROK MLE	FCL Cardinals	7	0	9	38	9	1	1	0%	1.2	23.7%	2.6%	21.1%	2.6%	1.04	2.88	—
2021	22	ROK RAW	FCL Cardinals	7	0	9	38	9	1	1	0%	1.2	23.7%	2.6%	21.1%	2.6%	1.04	2.87	—
2022	23	A MLE	Palm Beach Cardinals	26	7	61	273	51	14	6	27%	2.4	13.8%	6.1%	7.8%	3.2%	3.96	4.48	—
2022	23	A RAW	Palm Beach Cardinals	26	7	61	273	51	14	6	27%	2.4	18.7%	5.1%	13.6%	2.2%	3.96	3.39	—
2023	24	MIX MLE	2 levels	39	0	64	284	70	24	6	0%	1.6	19.4%	9.5%	10.0%	2.4%	3.08	3.96	—
2023	24	MIX RAW	2 levels	39	0	64	284	70	24	6	0%	1.6	24.6%	8.5%	16.2%	2.1%	3.08	3.26	—
2024	25	A+ MLE	Everett AquaSox	20	0	22	115	19	13	3	0%	1.1	12.7%	13.0%	-0.3%	2.8%	7.36	5.20	—
2024	25	A+ MLE	Everett AquaSox	20	0	22	115	19	13	3	0%	1.1	12.7%	13.0%	-0.3%	2.8%	7.36	5.20	—
2024	25	A+ RAW	Everett AquaSox	20	0	22	115	19	13	3	0%	1.1	16.5%	11.3%	5.2%	2.6%	7.36	4.92	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SEA	12	0	13	55	12	6	2	0%	1.1	21.4%	10.3%	11.1%	3.0%	4.62	4.62	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SEA	19	0	20	84	18	9	3	0%	1.1	21.4%	10.4%	11.0%	3.1%	4.67	4.72	-0.0
2028	29	MLB CTX	SEA	6	0	6	25	5	3	1	0%	1.0	21.4%	10.4%	11.0%	3.1%	4.67	4.72	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	3	1	0%	1.0	21.4%	10.4%	11.0%	3.1%	4.67	4.34	+0.0
/ 200 IP	—	RAW		190	0	200	844	165	99	33	0%	1.1	21.4%	10.4%	11.0%	3.1%	4.67	4.34	+0.5
Career	—	MLE		92	7	156	710	117	59	20	8%	1.7	16.4%	8.4%	8.1%	2.8%	3.91	4.30	-0.0
/ 200 IP	—	MLE		118	9	200	908	149	76	25	8%	1.7	16.4%	8.4%	8.1%	2.8%	3.91	4.30	-0.4

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
Bryan Pope (OGILVIE)	—	—	4.62	21.4%	10.3%	3.0%	—	4.72	21.4%	11.0%	20	+0.10	—	—	—
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	82
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	82
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	81
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	81
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	81
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	81
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	81
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	80
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	80
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	80
Josh Lueke R 2013 · 4.09 FIP	28	SU	4.09	25.3%	11.1%	3.1%	.333	3.28	24.6%	20.9%	90	-0.81	2.29	191	80
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	80
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	79
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	79
Jeff Fulchino R 2008 · 4.62 FIP	28	SU	4.62	16.7%	11.1%	2.8%	.380	3.86	21.0%	12.4%	164	-0.76	3.36	178	79
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	79
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	78
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	78
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	78
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	78