Ryan Heppner

P Augusta GreenJackets

Age 22 RHP 6'0" / 195 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	21	MIX3 levels	24	33	6.34	4.75	17.6%	12.2%	—	K 12.6% · BB 17.6% · FIP 6.54
2027PROJ	22	MLBATL	11	12	5.44	5.44	18.8%	14.8%	-0.1
2028PROJ49% MLB	23	MLBATL	14	15	5.16	5.05	20.3%	12.9%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsKasey Ford (age 23) · Tyler Smith (age 22) · Michael Perez (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136128vR 120

ERA5.44

FIP5.44

K%18.8%

BB%14.8%

K-BB%4.0%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†4550

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	21	MIX MLE	3 levels	24	0	33	148	26	18	4	0%	1.4	12.6%	17.6%	-5.0%	4.1%	6.34	6.54	—
2026	21	MIX MLE	3 levels	24	0	33	148	26	18	4	0%	1.4	12.6%	17.6%	-5.0%	4.1%	6.34	6.54	—
2026	21	MIX RAW	3 levels	24	0	33	148	26	18	4	0%	1.4	17.6%	12.2%	5.4%	2.7%	6.34	4.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	ATL	11	0	12	51	10	7	2	0%	1.1	18.8%	14.8%	4.0%	3.1%	5.44	5.44	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	ATL	29	0	30	129	26	17	4	0%	1.1	20.3%	12.9%	7.4%	3.0%	5.16	5.05	-0.2
2028	23	MLB CTX	ATL	14	0	15	63	13	8	2	0%	1.1	20.3%	12.9%	7.4%	3.0%	5.16	5.05	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	63	13	8	2	0%	1.1	20.3%	12.9%	7.4%	3.0%	5.16	4.67	-0.0
/ 200 IP	—	RAW		190	0	200	844	173	107	27	0%	1.1	20.3%	12.9%	7.4%	3.0%	5.16	4.67	-0.3
Career	—	MLE		24	0	33	148	19	26	6	0%	1.4	12.6%	17.6%	-5.0%	4.1%	6.34	6.54	-0.2
/ 200 IP	—	MLE		147	0	200	906	114	159	38	0%	1.4	12.6%	17.6%	-5.0%	4.1%	6.34	6.54	-1.2

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
Ryan Heppner (OGILVIE)	—	—	5.44	18.8%	14.8%	3.1%	—	5.05	20.3%	7.4%	30	-0.39	—	—	—
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	93
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	92
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	91
Jason Ruffcorn R 2021 · 4.74 FIP	23	SU	4.74	16.6%	14.2%	2.3%	.297	4.69	17.6%	4.2%	136	-0.05	4.01	283	90
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	89
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	89
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	89
Ismael Cabrera R 2016 · 4.77 FIP	22	SU	4.77	19.5%	12.4%	3.2%	.276	5.29	16.9%	6.5%	95	+0.52	3.56	133	88
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	88
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	88
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	88
Randy Messenger R 2005 · 4.90 FIP	23	SU	4.90	16.3%	12.9%	2.8%	.281	3.93	13.8%	7.1%	137	-0.97	3.56	174	87
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	87
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	87
Hobie Harris R 2015 · 4.28 FIP	22	SU	4.28	18.1%	13.3%	1.9%	.239	3.36	21.2%	12.0%	144	-0.92	3.31	476	87
Jake Bird R 2018 · 4.59 FIP	22	SU	4.59	17.7%	13.0%	2.4%	.254	3.65	16.1%	4.9%	156	-0.94	3.06	525	87
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	87
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	87
Brooks Crawford R 2019 · 4.78 FIP	22	SU	4.78	14.9%	13.7%	2.2%	.262	3.56	22.1%	14.5%	103	-1.22	2.50	296	86
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	86