Austin Pope

P Gwinnett Stripers

Age 28 RHP 6'3" / 210 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	AAAARI	55	0	57	5.72	3.24	26.0%	11.9%	—	K 22.4% · BB 10.7% · FIP 3.36
2025	26	MIX3 levels	32	4	39	4.15	2.77	26.3%	7.2%	0.8	K 22.8% · BB 7.0% · FIP 3.10
2026	27	AAAATL	9	1	12	7.50	7.02	7.9%	9.5%	—	K 6.8% · BB 8.6% · FIP 6.48
2027PROJ	28	MLBATL	12	0	13	4.71	4.71	18.0%	8.7%	-0.0
2028PROJ37% MLB	29	MLBATL	7	0	7	4.75	4.80	18.3%	9.0%	-0.0

Last 3 seasons WAR 0.8 · 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 99%

CompsCarlos Fisher (age 28) · Neil Wagner (age 29) · Jeff Fulchino (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 106

ERA4.71

FIP4.71

K%18.0%

BB%8.7%

K-BB%9.3%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Arsenal · Contract

Scouting Grades

K†4045

FB (58%)

SL (25%)

SI (8%)

CU (17%)

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)
2019	20	ROK MLE	ACL D-backs	1	0	1	3	0	1	0	0%	1.0	0.0%	33.3%	-33.3%	0.0%	0.00	7.32	—
2019	20	ROK RAW	ACL D-backs	1	0	1	3	0	1	0	0%	1.0	0.0%	33.3%	-33.3%	0.0%	0.00	6.10	—
2021	22	MIX MLE	2 levels	26	15	90	421	102	39	8	58%	3.5	18.1%	10.9%	7.1%	2.7%	7.50	4.43	—
2021	22	MIX RAW	2 levels	26	15	90	421	102	39	8	58%	3.5	24.2%	9.3%	15.0%	1.9%	7.50	3.29	—
2022	23	MIX MLE	3 levels	30	0	44	190	47	20	10	0%	1.5	18.2%	13.6%	4.6%	7.2%	6.18	7.21	—
2022	23	MIX RAW	3 levels	30	0	44	190	47	20	10	0%	1.5	24.7%	10.5%	14.2%	5.3%	6.18	5.30	—
2023	24	MIX MLE	2 levels	48	0	67	287	84	23	6	0%	1.4	24.2%	8.3%	15.9%	1.7%	3.65	3.01	—
2023	24	MIX RAW	2 levels	48	0	67	287	84	23	6	0%	1.4	29.3%	8.0%	21.3%	2.1%	3.65	2.79	—
2024	25	AAA MLE	Reno Aces	55	0	57	269	70	32	4	0%	1.0	22.4%	10.7%	11.7%	1.5%	5.72	3.36	—
2024	25	AAA MLE	Reno Aces	55	0	57	269	70	32	4	0%	1.0	22.4%	10.7%	11.7%	1.5%	5.72	3.36	—
2024	25	AAA RAW	Reno Aces	55	0	57	269	70	32	4	0%	1.0	26.0%	11.9%	14.1%	1.5%	5.72	3.24	—
2025	26	MIX MLE	3 levels	32	4	39	167	44	12	3	12%	1.2	22.8%	7.0%	15.8%	1.9%	4.15	3.10	+0.7
2025	26	MIX MLE	3 levels	32	4	39	167	44	12	3	12%	1.2	22.8%	7.0%	15.8%	1.9%	4.15	3.10	+0.7
2025	26	MIX RAW	3 levels	32	4	39	167	44	12	3	12%	1.2	26.3%	7.2%	19.2%	1.8%	4.15	2.77	+0.8
2026	27	AAA MLE	Gwinnett Stripers	9	1	12	63	5	6	3	11%	1.3	6.8%	8.6%	-1.7%	5.2%	7.50	6.48	—
2026	27	AAA MLE	Gwinnett Stripers	9	1	12	63	5	6	3	11%	1.3	6.8%	8.6%	-1.7%	5.2%	7.50	6.48	—
2026	27	AAA RAW	Gwinnett Stripers	9	1	12	63	5	6	3	11%	1.3	7.9%	9.5%	-1.6%	4.8%	7.50	7.02	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			1	0	2	9	1	1	0	0%	2.0	11.1%	11.1%	0.0%	0.0%	0.00	3.60	+0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	ATL	12	0	13	55	10	5	2	0%	1.1	18.0%	8.7%	9.3%	3.0%	4.71	4.71	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	ATL	19	0	20	84	15	8	3	0%	1.1	18.3%	9.0%	9.3%	3.2%	4.75	4.80	-0.1
2028	29	MLB CTX	ATL	7	0	7	30	5	3	1	0%	1.0	18.3%	9.0%	9.3%	3.2%	4.75	4.80	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	40	7	4	1	0%	1.2	16.7%	9.5%	7.2%	2.4%	3.73	4.23	+0.0
/ 200 IP	—	RAW		171	0	200	856	150	86	21	0%	1.2	16.7%	9.5%	7.2%	2.4%	3.73	4.23	+0.8
Career	—	MLE		201	20	309	1400	283	142	40	10%	1.5	20.2%	10.2%	10.0%	2.9%	5.71	4.25	-0.0
/ 200 IP	—	MLE		130	13	200	906	183	92	26	10%	1.5	20.2%	10.2%	10.0%	2.9%	5.71	4.25	-0.3

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
Austin Pope (OGILVIE)	—	—	4.71	18.0%	8.7%	3.0%	—	4.80	18.3%	9.3%	20	+0.09	—	—	—
Carlos Fisher R 2011 · 4.33 FIP	28	SU	4.33	15.5%	9.1%	2.5%	.275	—	—	—	—	—	2.48	245	75
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	75
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	74
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	74
Chris Hatcher R 2012 · 5.60 FIP	27	SU	5.60	15.2%	9.1%	4.8%	.298	2.68	26.4%	20.9%	95	-2.92	2.51	246	74
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	74
Ty Adcock R 2024 · 3.76 FIP	27	SU	3.76	20.8%	8.9%	2.4%	.405	4.85	20.4%	11.6%	66	+1.09	3.76	122	74
Rob Scahill R 2015 · 3.91 FIP	28	SU	3.91	16.9%	7.7%	2.3%	.288	3.34	17.9%	10.1%	171	-0.57	3.06	250	73
Santiago Casilla R 2008 · 3.71 FIP	28	SU	3.71	18.8%	7.9%	2.2%	.337	3.37	20.6%	10.4%	155	-0.34	2.76	647	73
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	73
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	73
Greg Burke R 2009 · 3.93 FIP	26	SU	3.93	16.2%	8.8%	2.0%	.295	—	—	—	—	—	3.61	139	73
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	73
Jay Flaa R 2019 · 4.66 FIP	27	SU	4.66	19.4%	9.8%	3.6%	.300	4.86	22.8%	4.7%	36	+0.20	3.59	273	73
Ryan Doolittle R 2016 · 4.38 FIP	28	SU	4.38	13.9%	7.1%	2.8%	.269	—	—	—	—	—	4.03	101	73
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	73
Chad Paronto R 2002 · 3.73 FIP	27	SU	3.73	14.9%	6.5%	1.9%	.263	—	—	—	—	—	3.65	160	73
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	72
Evan Scribner R 2013 · 4.06 FIP	28	SU	4.06	16.7%	6.1%	2.9%	.271	4.59	26.9%	25.2%	60	+0.53	3.23	136	72
J.J. Putz R 2005 · 4.36 FIP	28	SU	4.36	17.4%	8.1%	3.1%	.270	2.24	31.4%	25.1%	196	-2.12	1.43	563	72