Mason Englert

P Durham Bulls

Age 27 RHP 6'4" / 205 lbs AAA ILForty Man (40M)

Overview

AAARP40M40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX4 levels	44	6	71	3.79	3.52	28.0%	7.4%	0.9	K 25.7% · BB 6.3% · FIP 4.05
2025	25	MIX2 levels	43	1	67	2.97	2.69	25.4%	5.8%	1.5	K 24.0% · BB 5.6% · FIP 2.71
2026	26	MIX2 levels	31	18	122	4.80	4.32	23.9%	4.0%	1.5	K 21.6% · BB 3.7% · FIP 4.63
2027PROJ	27	MLBTB	47	0	49	4.55	4.50	21.8%	4.2%	0.0
2028PROJ95% MLB	28	MLBTB	43	0	45	4.57	4.58	21.6%	4.3%	-0.0
2029PROJ95% MLB	29	MLBTB	35	0	37	4.67	4.74	21.0%	4.5%	-0.1

Last 3 seasons WAR 3.9 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%43

FB Velo26

xwOBA vs10

CompsRandy Wynne (age 26) · Connor Schultz (age 25) · Jack Labosky (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA4.55

FIP4.50

K%21.8%

BB%4.2%

K-BB%17.6%

Proj IP49

Value2027 · WAR

Runs saved vs league avg · 49 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL6060

CMD5050

K†5050

Statcast Percentiles

FB Velo

p2692.8

Whiff%

p4224.2%

p4321.2%

xwOBA vs

p100.373

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 the standard WAR scale.

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	21	A MLE	Down East Wood Ducks	19	19	81	342	90	26	4	100%	4.2	19.5%	9.0%	10.5%	1.5%	4.35	3.43	—
2021	21	A RAW	Down East Wood Ducks	19	19	81	342	90	26	4	100%	4.2	26.3%	7.6%	18.7%	1.2%	4.35	2.48	—
2022	22	MIX MLE	2 levels	24	24	119	475	136	31	16	100%	4.9	22.2%	7.5%	14.8%	3.8%	3.64	4.25	—
2022	22	MIX RAW	2 levels	24	24	119	475	136	31	16	100%	4.9	28.6%	6.5%	22.1%	3.4%	3.64	3.34	—
2023	23	MIX MLE	2 levels	40	1	67	307	60	21	16	2%	1.7	18.7%	6.7%	12.0%	5.7%	5.75	5.49	-0.7
2023	23	MIX RAW	2 levels	40	1	67	307	60	21	16	2%	1.7	19.5%	6.8%	12.7%	5.2%	5.75	5.34	-0.6
2024	24	MIX MLE	4 levels	44	6	71	296	83	22	10	14%	1.6	25.7%	6.3%	19.4%	4.2%	3.79	4.05	+0.4
2024	24	MIX MLE	4 levels	44	6	71	296	83	22	10	14%	1.6	25.7%	6.3%	19.4%	4.2%	3.79	4.05	+0.4
2024	24	MIX RAW	4 levels	44	6	71	296	83	22	10	14%	1.6	28.0%	7.4%	20.6%	3.4%	3.79	3.52	+0.9
2025	25	MIX MLE	2 levels	43	1	67	276	70	16	5	2%	1.6	24.0%	5.6%	18.4%	1.7%	2.97	2.71	+1.5
2025	25	MIX MLE	2 levels	43	1	67	276	70	16	5	2%	1.6	24.0%	5.6%	18.4%	1.7%	2.97	2.71	+1.5
2025	25	MIX RAW	2 levels	43	1	67	276	70	16	5	2%	1.6	25.4%	5.8%	19.6%	1.8%	2.97	2.69	+1.5
2026	26	MIX MLE	2 levels	31	18	122	527	126	21	26	58%	3.9	21.6%	3.7%	17.9%	5.3%	4.80	4.63	+1.1
2026	26	MIX MLE	2 levels	31	18	122	527	126	21	26	58%	3.9	21.6%	3.7%	17.9%	5.3%	4.80	4.63	+1.1
2026	26	MIX RAW	2 levels	31	18	122	527	126	21	26	58%	3.9	23.9%	4.0%	19.9%	4.9%	4.80	4.32	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			87	6	162	710	139	38	33	7%	1.9	19.6%	5.4%	14.2%	4.6%	5.12	4.74	-0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	TB	47	0	49	207	45	9	9	0%	1.0	21.8%	4.2%	17.6%	4.2%	4.55	4.50	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	TB	45	0	48	201	44	9	9	0%	1.1	21.6%	4.3%	17.3%	4.3%	4.57	4.58	-0.0
2029	29	MLB MLE	TB	37	0	39	166	35	8	7	0%	1.1	21.0%	4.5%	16.5%	4.5%	4.67	4.74	-0.1
2028	28	MLB CTX	TB	43	0	45	190	41	8	8	0%	1.0	21.6%	4.3%	17.3%	4.3%	4.57	4.58	-0.0
2029	29	MLB CTX	TB	35	0	37	156	33	7	7	0%	1.1	21.0%	4.5%	16.5%	4.5%	4.67	4.74	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		166	6	244	1059	213	53	48	4%	1.5	20.2%	5.0%	15.1%	4.6%	4.95	4.54	+0.0
/ 200 IP	—	RAW		136	5	200	867	174	43	39	4%	1.5	20.2%	5.0%	15.1%	4.6%	4.95	4.54	+0.0
Career	—	MLE		201	69	527	2223	486	140	86	34%	2.6	21.8%	6.3%	15.5%	3.8%	4.22	4.17	-0.5
/ 200 IP	—	MLE		76	26	200	844	184	53	32	34%	2.6	21.8%	6.3%	15.5%	3.8%	4.22	4.17	-0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAADurham Bulls · 83 IPFIP 3.56 → 4.01 (+0.45)K% 25.3% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.29%	—	×0.860	21.75%
BB% (unintentional) /BF	4.31%	—	×0.900	3.88%
HR / BF /BF	3.74%	÷1.000	×1.100	4.11%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.56 → 4.01, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAADurham Bulls · 22 IPFIP 1.99 → 2.13 (+0.15)K% 28.6% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.860	24.57%
BB% (unintentional) /BF	5.49%	—	×0.900	4.95%
HR / BF /BF	1.10%	÷1.380	×1.100	0.88%

Result: FIP 1.99 → 2.13, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAAToledo Mud Hens · 42 IPFIP 2.78 → 3.72 (+0.94)K% 35.3% → 30.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.29%	—	×0.860	30.35%
BB% (unintentional) /BF	8.24%	—	×0.900	7.41%
HR / BF /BF	2.94%	÷0.792	×1.100	4.08%

Result: FIP 2.78 → 3.72, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+West Michigan Whitecaps · 5 IPFIP 2.30 → 2.94 (+0.64)K% 23.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.770	18.33%
BB% (unintentional) /BF	9.52%	—	×1.150	10.95%
HR / BF /BF	0.00%	÷0.889	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 78).

Result: FIP 2.30 → 2.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAAToledo Mud Hens · 11 IPFIP 5.13 → 6.35 (+1.22)K% 35.2% → 30.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.19%	—	×0.860	30.26%
BB% (unintentional) /BF	7.41%	—	×0.900	6.67%
HR / BF /BF	7.41%	÷0.901	×1.100	9.04%

Result: FIP 5.13 → 6.35, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 A+Hickory Crawdads · 103 IPFIP 3.52 → 4.42 (+0.90)K% 28.3% → 21.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.29%	—	×0.770	21.79%
BB% (unintentional) /BF	6.34%	—	×1.150	7.29%
HR / BF /BF	3.66%	÷1.123	×1.250	4.07%

Result: FIP 3.52 → 4.42, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAFrisco RoughRiders · 15 IPFIP 2.32 → 3.18 (+0.85)K% 30.8% → 24.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.810	24.92%
BB% (unintentional) /BF	7.69%	—	×1.100	8.46%
HR / BF /BF	1.54%	÷0.915	×1.200	2.02%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 83).

Result: FIP 2.32 → 3.18, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 ADown East Wood Ducks · 81 IPFIP 2.48 → 3.43 (+0.95)K% 26.3% → 19.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.32%	—	×0.740	19.47%
BB% (unintentional) /BF	7.60%	—	×1.180	8.97%
HR / BF /BF	1.17%	÷0.996	×1.300	1.53%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 99).

Result: FIP 2.48 → 3.43, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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 Englert (OGILVIE)	—	—	4.50	21.8%	4.2%	4.2%	—	4.65	21.4%	16.9%	87	+0.15	—	—	—
Randy Wynne R 2019 · 4.35 FIP	26	SW	4.35	20.7%	0.0%	5.5%	.353	4.90	13.3%	8.4%	222	+0.55	4.35	461	72
Connor Schultz R 2024 · 3.88 FIP	25	SU	3.88	19.7%	5.3%	3.2%	.283	4.02	18.8%	10.4%	156	+0.14	3.53	203	72
Jack Labosky R 2021 · 5.39 FIP	25	SW	5.39	19.0%	5.1%	5.9%	.257	—	—	—	—	—	3.09	145	66
Cody Martin R 2017 · 3.63 FIP	27	SW	3.63	24.6%	6.1%	3.3%	.342	5.88	16.3%	6.0%	81	+2.25	3.56	402	66
Coleman Huntley III R 2021 · 3.85 FIP	28	SW	3.85	20.2%	7.4%	2.8%	.348	3.56	23.4%	13.2%	86	-0.29	2.38	160	65
Casey Sadler R 2017 · 3.37 FIP	27	SW	3.37	15.2%	3.4%	2.1%	.333	3.85	19.6%	12.5%	181	+0.48	2.21	385	65
Max Alba R 2024 · 4.52 FIP	25	SU	4.52	21.2%	4.0%	4.9%	.253	5.52	15.4%	7.6%	191	+1.00	4.47	303	65
Hayden Wesneski R 2024 · 4.17 FIP	26	SW	4.17	23.3%	7.3%	3.8%	.259	3.77	20.7%	14.1%	106	-0.40	3.31	561	64
Tylor Megill R 2022 · 3.70 FIP	27	SP-	3.70	25.5%	6.5%	3.5%	.302	3.88	22.8%	12.8%	359	+0.18	3.02	603	64
Garrett Whitlock R 2023 · 3.78 FIP	27	SP-	3.78	23.7%	4.0%	3.9%	.343	2.05	29.5%	22.9%	143	-1.73	1.81	576	64
DJ Baxendale R 2018 · 3.49 FIP	27	SW	3.49	18.1%	6.0%	2.1%	.355	5.71	20.0%	8.3%	49	+2.22	2.88	426	64
TJ Shook R 2024 · 4.15 FIP	26	SW	4.15	23.7%	8.7%	3.5%	.317	3.92	20.0%	11.1%	107	-0.23	3.35	452	63
Edwin Quirarte R 2015 · 3.41 FIP	28	SW	3.41	16.7%	6.2%	1.7%	.311	3.48	12.7%	4.9%	83	+0.06	3.16	157	63
Joaquín Benoit R 2004 · 4.49 FIP	27	SP-	4.49	20.8%	6.8%	4.2%	.302	3.31	23.7%	14.5%	249	-1.18	1.99	1,064	63
Austin Pruitt R 2017 · 3.56 FIP	27	SW	3.56	20.5%	4.8%	2.9%	.324	3.72	19.9%	14.6%	205	+0.16	2.94	819	62
Vinny Nittoli R 2019 · 4.18 FIP	28	SU	4.18	19.0%	6.9%	3.3%	.302	3.86	26.9%	20.4%	93	-0.32	3.66	331	62
Eric Karch R 2017 · 4.70 FIP	25	SU	4.70	20.3%	4.2%	5.1%	.258	—	—	—	—	—	3.78	104	62
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	61
Gus Schlosser R 2016 · 3.92 FIP	27	SU	3.92	18.7%	5.6%	3.1%	.364	—	—	—	—	—	3.92	107	61
Ben Lively R 2019 · 4.99 FIP	27	SW	4.99	20.8%	9.5%	4.5%	.312	3.30	20.9%	12.1%	77	-1.69	3.30	1,089	61

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.5	43	20.4%	5.2%	1.75	4.88
Gabe White ('05)	2.9	57	19.0%	5.9%	1.51	4.51
Adam Morgan ('21)	1.8	62	20.8%	7.2%	1.58	4.80
Nelson Cruz ('03)	1.7	58	18.2%	7.2%	1.52	5.04
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
Julio Navarro ('62-'70, 1 WAR*)	1.1	53	21.7%*	7.8%*	1.55*	4.13*
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*