Mason Erla

P Salt Lake Bees

Age 29 RHP 6'4" / 200 lbs AAA

Overview

AAAPROSPECT

MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	27	AAALAA	10	1	22	7.48	6.42	15.0%	12.1%	—	K 12.9% · BB 10.9% · FIP 6.25
2026	28	AAALAA	6	0	9	1.93	3.31	5.1%	5.1%	—	K 5.1% · BB 5.1% · FIP 3.32
2027PROJ	29	MLBLAA	16	0	17	4.92	4.92	17.1%	9.2%	-0.1
2028PROJ37% MLB	30	MLBLAA	7	0	7	4.96	5.03	17.3%	9.5%	-0.0

Next 2 projected WAR -0.1Projected 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 100%

CompsRamon Delgado (age 29) · Yoanner Negrin (age 31) · Rodolfo Aguirre (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 110

ERA4.92

FIP4.92

K%17.1%

BB%9.2%

K-BB%7.9%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

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)
2021	23	MIX MLE	2 levels	3	2	7	26	11	0	0	67%	2.4	42.3%	0.0%	42.3%	0.0%	1.23	-0.47	—
2021	23	MIX RAW	2 levels	3	2	7	26	11	0	0	67%	2.4	42.3%	0.0%	42.3%	0.0%	1.23	0.10	—
2022	24	AA MLE	Rocket City Trash Pandas	16	16	82	348	64	19	9	100%	5.1	14.9%	6.0%	8.9%	2.7%	4.28	4.11	—
2022	24	AA RAW	Rocket City Trash Pandas	16	16	82	348	64	19	9	100%	5.1	18.4%	5.5%	12.9%	2.6%	4.28	3.66	—
2023	25	MIX MLE	2 levels	13	11	49	242	39	30	10	85%	3.8	13.3%	12.5%	0.8%	4.8%	8.94	6.20	—
2023	25	MIX RAW	2 levels	13	11	49	242	39	30	10	85%	3.8	16.1%	12.4%	3.7%	4.1%	8.94	5.98	—
2024	26	AA MLE	Rocket City Trash Pandas	34	4	53	219	46	13	2	12%	1.6	17.0%	6.5%	10.5%	1.1%	2.21	3.11	—
2024	26	AA MLE	Rocket City Trash Pandas	34	4	53	219	46	13	2	12%	1.6	17.0%	6.5%	10.5%	1.1%	2.21	3.11	—
2024	26	AA RAW	Rocket City Trash Pandas	34	4	53	219	46	13	2	12%	1.6	21.0%	5.9%	15.1%	0.9%	2.21	2.59	—
2025	27	AAA MLE	Salt Lake Bees	10	1	22	107	16	13	5	10%	2.2	12.9%	10.9%	1.9%	5.2%	7.48	6.25	—
2025	27	AAA MLE	Salt Lake Bees	10	1	22	107	16	13	5	10%	2.2	12.9%	10.9%	1.9%	5.2%	7.48	6.25	—
2025	27	AAA RAW	Salt Lake Bees	10	1	22	107	16	13	5	10%	2.2	15.0%	12.1%	2.8%	4.7%	7.48	6.42	—
2026	28	AAA MLE	Salt Lake Bees	6	0	9	39	2	2	0	0%	1.6	5.1%	5.1%	0.0%	0.0%	1.93	3.32	—
2026	28	AAA MLE	Salt Lake Bees	6	0	9	39	2	2	0	0%	1.6	5.1%	5.1%	0.0%	0.0%	1.93	3.32	—
2026	28	AAA RAW	Salt Lake Bees	6	0	9	39	2	2	0	0%	1.6	5.1%	5.1%	0.0%	0.0%	1.93	3.31	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	LAA	16	0	17	72	12	7	2	0%	1.1	17.1%	9.2%	7.9%	3.1%	4.92	4.92	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	LAA	19	0	20	84	15	8	3	0%	1.1	17.3%	9.5%	7.9%	3.3%	4.96	5.03	-0.1
2028	30	MLB CTX	LAA	7	0	7	30	5	3	1	0%	1.0	17.3%	9.5%	7.9%	3.3%	4.96	5.03	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	5	3	1	0%	1.1	17.3%	9.5%	7.9%	3.3%	4.96	4.65	-0.0
/ 200 IP	—	RAW		190	0	200	844	136	82	27	0%	1.1	17.3%	9.5%	7.9%	3.3%	4.96	4.65	-0.2
Career	—	MLE		82	34	223	981	148	79	29	41%	2.7	15.1%	8.1%	7.0%	3.0%	4.93	4.48	-0.1
/ 200 IP	—	MLE		74	31	200	881	133	71	26	41%	2.7	15.1%	8.1%	7.0%	3.0%	4.93	4.48	-1.1

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
Mason Erla (OGILVIE)	—	—	4.92	17.1%	9.2%	3.1%	—	5.03	17.3%	7.9%	20	+0.11	—	—	—
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	79
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	76
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	75
Jared Fernandez R 2001 · 4.66 FIP	29	SW	4.66	8.8%	10.5%	1.8%	.267	3.95	14.0%	5.6%	89	-0.71	3.57	101	73
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.40	236	73
Fredy Quintero R 2017 · 4.45 FIP	29	SW	4.45	14.0%	8.7%	2.6%	.335	4.62	17.2%	3.5%	43	+0.17	4.29	241	72
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	71
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	71
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	71
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	70
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	70
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	70
Lindsey Caughel R 2018 · 5.12 FIP	27	SW	5.12	13.3%	8.3%	3.8%	.301	—	—	—	—	—	4.49	187	69
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	69
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	68
Ryan Jensen R 2005 · 4.35 FIP	29	SW	4.35	15.7%	5.2%	3.5%	.310	—	—	—	—	—	4.35	253	68
Bradin Hagens R 2018 · 4.92 FIP	29	SP-	4.92	14.9%	9.9%	3.3%	.341	5.46	13.2%	0.6%	66	+0.54	3.79	254	67
Murphy Smith R 2017 · 4.32 FIP	29	SW	4.32	13.6%	4.9%	3.2%	.267	4.57	13.6%	4.3%	63	+0.25	3.16	300	67
Chris Jakubauskas R 2009 · 4.97 FIP	30	SW	4.97	12.1%	6.2%	3.9%	.250	4.42	15.7%	7.8%	72	-0.55	4.42	165	67
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	67