Braeden Fausnaught

P Reading Fightin Phils

Age 28 LHP 6'3" / 235 lbs AA peak 0.4 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	24	APHI	24	7	63	4.57	3.75	22.8%	13.9%	—	K 16.9% · BB 16.4% · FIP 4.77
2024	25	MIX2 levels	24	23	126	3.57	3.43	23.1%	7.4%	—	K 18.0% · BB 8.4% · FIP 4.43
2025	26	AAPHI	12	10	53	4.61	4.32	21.8%	7.1%	—	K 17.6% · BB 7.8% · FIP 5.00
2026	27	No MLB games played
2027PROJ	28	MLBPHI	1	1	1	4.78	4.78	17.2%	8.0%	0.0
2028PROJ31% MLB	29	MLBPHI	3	3	19	4.81	4.86	17.6%	8.3%	0.1
2029PROJ51% MLB	30	MLBPHI	4	4	27	4.91	5.00	17.7%	8.7%	0.1

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control55Command50

CompsDanny Wirchansky (age 27) · Matt Tracy (age 28) · Yohan Flande (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108116vR 124

ERA4.78

FIP4.78

K%17.2%

BB%8.0%

K-BB%9.2%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL5555

CMD5050

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 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)
2022	23	ROK MLE	FCL Phillies	2	0	2	6	3	0	0	0%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-1.12	—
2022	23	ROK RAW	FCL Phillies	2	0	2	6	3	0	0	0%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	0.10	—
2023	24	A MLE	Clearwater Threshers	24	7	63	281	64	39	4	29%	2.6	16.9%	16.4%	0.5%	1.9%	4.57	4.77	—
2023	24	A RAW	Clearwater Threshers	24	7	63	281	64	39	4	29%	2.6	22.8%	13.9%	8.9%	1.4%	4.57	3.75	—
2024	25	MIX MLE	2 levels	24	23	126	529	122	39	13	96%	5.2	18.0%	8.4%	9.6%	3.3%	3.57	4.43	—
2024	25	MIX MLE	2 levels	24	23	126	529	122	39	13	96%	5.2	18.0%	8.4%	9.6%	3.3%	3.57	4.43	—
2024	25	MIX RAW	2 levels	24	23	126	529	122	39	13	96%	5.2	23.1%	7.4%	15.7%	2.5%	3.57	3.43	—
2025	26	AA MLE	Reading Fightin Phils	12	10	53	239	52	17	9	83%	4.4	17.6%	7.8%	9.8%	4.4%	4.61	5.00	—
2025	26	AA MLE	Reading Fightin Phils	12	10	53	239	52	17	9	83%	4.4	17.6%	7.8%	9.8%	4.4%	4.61	5.00	—
2025	26	AA RAW	Reading Fightin Phils	12	10	53	239	52	17	9	83%	4.4	21.8%	7.1%	14.6%	3.8%	4.61	4.32	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	PHI	1	1	1	4	1	0	0	100%	1.0	17.2%	8.0%	9.2%	3.2%	4.78	4.78	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	PHI	10	10	59	250	44	21	8	100%	5.9	17.6%	8.3%	9.2%	3.3%	4.81	4.86	+0.4
2029	30	MLB MLE	PHI	8	8	52	218	39	19	8	100%	6.5	17.7%	8.7%	9.0%	3.5%	4.91	5.00	+0.2
2028	29	MLB CTX	PHI	3	3	19	80	14	7	3	100%	6.3	17.6%	8.3%	9.2%	3.3%	4.81	4.86	+0.1
2029	30	MLB CTX	PHI	4	4	27	114	20	10	4	100%	6.8	17.7%	8.7%	9.0%	3.5%	4.91	5.00	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	7	45	190	34	16	6	100%	6.4	17.7%	8.6%	9.1%	3.4%	4.87	4.56	+0.4
/ 200 IP	—	RAW		33	33	200	844	151	71	27	100%	6.1	17.7%	8.6%	9.1%	3.4%	4.87	4.56	+1.9
Career	—	MLE		62	40	244	1055	188	109	33	65%	3.9	17.8%	10.3%	7.4%	3.1%	4.03	4.62	+0.6
/ 200 IP	—	MLE		51	33	200	866	154	90	27	65%	3.9	17.8%	10.3%	7.4%	3.1%	4.03	4.62	+1.1

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.

2025 AAReading Fightin Phils · 53 IPFIP 4.23 → 5.00 (+0.77)K% 21.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.76%	—	×0.810	17.62%
BB% (unintentional) /BF	7.11%	—	×1.100	7.82%
HR / BF /BF	3.77%	÷1.036	×1.200	4.36%

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 107).

Result: FIP 4.23 → 5.00, 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+Jersey Shore BlueClaws · 99 IPFIP 3.81 → 4.95 (+1.13)K% 22.0% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.00%	—	×0.770	16.94%
BB% (unintentional) /BF	7.58%	—	×1.150	8.72%
HR / BF /BF	2.93%	÷0.926	×1.250	3.96%

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 85).

Result: FIP 3.81 → 4.95, 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 AAReading Fightin Phils · 27 IPFIP 2.15 → 2.69 (+0.54)K% 26.7% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.67%	—	×0.810	21.60%
BB% (unintentional) /BF	6.67%	—	×1.100	7.33%
HR / BF /BF	0.83%	÷1.137	×1.200	0.88%

Result: FIP 2.15 → 2.69, 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 AClearwater Threshers · 63 IPFIP 3.72 → 4.77 (+1.05)K% 22.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.78%	—	×0.740	16.85%
BB% (unintentional) /BF	13.88%	—	×1.180	16.38%
HR / BF /BF	1.42%	÷1.000	×1.300	1.85%

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 100).

Result: FIP 3.72 → 4.77, 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
Braeden Fausnaught (OGILVIE)	—	—	4.78	17.2%	8.0%	3.2%	—	4.93	17.6%	9.1%	111	+0.15	—	—	—
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	84
Matt Tracy L 2017 · 4.82 FIP	28	SP-	4.82	16.1%	9.4%	3.5%	.325	3.24	13.9%	3.5%	49	-1.58	3.24	298	83
Yohan Flande L 2014 · 3.65 FIP	28	SP-	3.65	14.1%	5.8%	1.8%	.266	3.90	14.1%	7.9%	312	+0.25	3.18	394	80
John Anderson L 2016 · 4.23 FIP	27	SP-	4.23	14.3%	8.7%	2.2%	.367	—	—	—	—	—	4.12	235	77
Eric Wooten L 2015 · 4.02 FIP	25	SP-	4.02	14.6%	7.5%	2.2%	.316	—	—	—	—	—	4.02	116	76
Roy Merritt L 2016 · 3.93 FIP	30	SP-	3.93	13.3%	5.9%	2.2%	.293	3.95	16.2%	10.4%	116	+0.02	3.93	129	75
Matt Lujan L 2017 · 4.69 FIP	28	SP-	4.69	14.3%	6.4%	3.6%	.348	—	—	—	—	—	4.06	227	75
Chipper Smith L 2015 · 3.81 FIP	25	SP-	3.81	15.6%	9.5%	1.5%	.321	—	—	—	—	—	3.81	109	74
Tyler Alexander L 2019 · 5.56 FIP	27	SP-	5.56	21.7%	9.8%	5.6%	.289	5.27	15.7%	5.0%	26	-0.29	5.27	128	74
James Gillheeney L 2015 · 3.79 FIP	27	SP-	3.79	14.4%	8.0%	1.6%	.300	—	—	—	—	—	3.79	129	73
Houston Harding L 2024 · 4.54 FIP	26	SP-	4.54	16.5%	11.2%	2.6%	.268	5.19	12.0%	0.5%	61	+0.65	3.41	239	73
Carlos Teller L 2015 · 3.75 FIP	28	SP-	3.75	13.8%	10.9%	0.8%	.329	4.75	13.3%	3.1%	187	+1.00	3.75	333	72
Dylan Dodd L 2024 · 4.71 FIP	26	SP-	4.71	17.5%	6.0%	4.2%	.338	3.97	26.5%	21.7%	123	-0.74	3.31	475	72
Jack Snodgrass L 2016 · 5.01 FIP	28	SP-	5.01	15.7%	10.1%	3.6%	.305	—	—	—	—	—	4.66	118	72
Edgar Osuna L 2017 · 5.05 FIP	29	SP	5.05	10.6%	8.2%	3.3%	.345	5.09	10.0%	2.8%	83	+0.04	5.05	175	71
Onelki Garcia L 2017 · 4.02 FIP	27	SP-	4.02	16.5%	9.3%	2.1%	.328	—	—	—	—	—	2.99	164	71
Brad Mills L 2014 · 5.61 FIP	29	SP-	5.61	18.8%	10.9%	5.0%	.364	5.00	14.5%	4.0%	182	-0.61	4.22	243	71
Chris Reed L 2016 · 4.67 FIP	26	SW	4.67	16.4%	9.8%	3.1%	.238	—	—	—	—	—	4.67	137	70
Jason Wheeler L 2017 · 4.40 FIP	26	SP-	4.40	16.1%	5.8%	3.5%	.304	—	—	—	—	—	3.63	401	70
Duane Below L 2015 · 3.63 FIP	29	SW	3.63	12.5%	3.7%	2.0%	.266	4.57	14.7%	9.6%	140	+0.94	3.63	265	70

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	0.9	60	17.5%	8.3%	1.28	4.83
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*