Bryse Wilson

P Nashville Sounds

Age 29 RHP 6'2" / 255 lbs AAA ILForty Man (40M)

Overview

AAARP40M40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MLBMIL	34	9	105	4.04	4.91	18.6%	7.0%	-0.4
2025	27	MIX2 levels	38	13	96	5.44	4.90	16.3%	7.1%	-0.4	K 14.9% · BB 6.8% · FIP 4.75
2026	28	MIX2 levels	30	12	96	5.16	3.24	22.5%	5.9%	1.5	K 20.4% · BB 5.4% · FIP 3.38
2027PROJ	29	MLBMIL	6	6	41	4.62	4.44	18.1%	6.0%	0.5
2028PROJ	30	MLBMIL	5	5	34	4.64	4.65	17.4%	6.3%	0.3
2029PROJ	31	MLBMIL	3	3	23	4.78	4.88	16.7%	6.7%	0.1

Last 3 seasons WAR 0.7 · Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs41

K%38

FB Velo32

Form3.60 ERA (proj 4.62) · K 25.0% (proj 18.1%) · BB 1.7% (proj 6.0%) ▲▲ last 90d · 15 IP through Oct 27

CompsRyan Jensen (age 29) · Mike Wright Jr. (age 29) · Daulton Jefferies (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 99

ERA4.62

FIP4.44

K%18.1%

BB%6.0%

K-BB%12.1%

Proj IP41

Value2027 · WAR

Runs saved vs league avg · 41 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p3293.2

Whiff%

p1018.1%

p3820.5%

xwOBA vs

p410.322

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)
2016	18	ROK MLE	GCL Braves	9	6	27	101	29	8	0	67%	3.0	19.5%	9.9%	9.6%	0.0%	0.67	2.71	—
2016	18	ROK RAW	GCL Braves	9	6	27	101	29	8	0	67%	3.0	28.7%	7.9%	20.8%	0.0%	0.67	1.83	—
2017	19	A MLE	Rome Braves	26	26	137	546	139	37	8	100%	5.3	18.8%	8.0%	10.8%	2.5%	2.50	3.91	—
2017	19	A RAW	Rome Braves	26	26	137	546	139	37	8	100%	5.3	25.5%	6.8%	18.7%	1.5%	2.50	2.64	—
2018	20	MIX MLE	4 levels	28	24	133	559	149	38	9	86%	4.7	22.2%	7.1%	15.0%	2.1%	3.60	3.26	+3.5
2018	20	MIX RAW	4 levels	28	24	133	559	149	38	9	86%	4.7	26.7%	6.8%	19.9%	1.6%	3.60	2.59	+4.7
2019	21	MIX MLE	2 levels	27	25	141	597	134	34	17	93%	5.2	20.1%	5.9%	14.2%	3.3%	3.96	3.96	+2.4
2019	21	MIX RAW	2 levels	27	25	141	597	134	34	17	93%	5.2	22.4%	5.7%	16.8%	2.8%	3.96	3.49	+3.3
2020	22	MLB MLE	Atlanta Braves	6	2	16	73	15	9	2	33%	2.6	20.5%	12.3%	8.2%	2.7%	4.02	4.43	+0.0
2020	22	MLB RAW	Atlanta Braves	6	2	16	73	15	9	2	33%	2.6	20.5%	12.3%	8.2%	2.7%	4.02	4.57	-0.0
2021	23	MIX MLE	2 levels	26	25	129	557	88	35	23	96%	5.0	14.9%	6.4%	8.5%	4.5%	4.87	5.12	+0.4
2021	23	MIX RAW	2 levels	26	25	129	557	88	35	23	96%	5.0	15.8%	6.3%	9.5%	4.1%	4.87	4.86	+0.8
2022	24	MIX MLE	2 levels	31	26	152	656	113	37	26	84%	4.9	16.6%	5.7%	10.9%	4.3%	4.91	4.77	+1.1
2022	24	MIX RAW	2 levels	31	26	152	656	113	37	26	84%	4.9	17.2%	5.6%	11.6%	4.0%	4.91	4.57	+1.5
2023	25	MLB MLE	Milwaukee Brewers	53	0	77	314	61	22	9	0%	1.4	19.4%	7.0%	12.4%	2.7%	2.58	3.85	+0.6
2023	25	MLB RAW	Milwaukee Brewers	53	0	77	314	61	22	9	0%	1.4	19.4%	7.0%	12.4%	2.9%	2.58	3.90	+0.6
2024	26	MLB MLE	Milwaukee Brewers	34	9	105	442	82	31	20	26%	3.1	18.6%	7.0%	11.5%	4.3%	4.04	4.79	-0.3
2024	26	MLB MLE	Milwaukee Brewers	34	9	105	442	82	31	20	26%	3.1	18.6%	7.0%	11.5%	4.3%	4.04	4.79	-0.3
2024	26	MLB RAW	Milwaukee Brewers	34	9	105	442	82	31	20	26%	3.1	18.6%	7.0%	11.5%	4.5%	4.04	4.91	-0.4
2025	27	MIX MLE	2 levels	38	13	96	424	69	30	17	34%	2.5	14.9%	6.8%	8.1%	3.7%	5.44	4.75	-0.2
2025	27	MIX MLE	2 levels	38	13	96	424	69	30	17	34%	2.5	14.9%	6.8%	8.1%	3.7%	5.44	4.75	-0.2
2025	27	MIX RAW	2 levels	38	13	96	424	69	30	17	34%	2.5	16.3%	7.1%	9.2%	4.0%	5.44	4.90	-0.4
2026	28	MIX MLE	2 levels	30	12	96	426	96	25	10	40%	3.2	20.4%	5.4%	15.0%	2.4%	5.16	3.38	+1.4
2026	28	MIX MLE	2 levels	30	12	96	426	96	25	10	40%	3.2	20.4%	5.4%	15.0%	2.4%	5.16	3.38	+1.4
2026	28	MIX RAW	2 levels	30	12	96	426	96	25	10	40%	3.2	22.5%	5.9%	16.7%	2.3%	5.16	3.24	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			179	57	496	2161	364	147	87	32%	2.8	16.8%	6.8%	10.0%	4.0%	4.79	4.80	-1.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	MIL	6	6	41	173	31	10	5	100%	6.8	18.1%	6.0%	12.1%	3.1%	4.62	4.44	+0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	MIL	5	5	34	142	25	9	5	100%	6.7	17.4%	6.3%	11.1%	3.3%	4.64	4.65	+0.3
2029	31	MLB MLE	MIL	3	3	23	97	16	6	3	100%	7.7	16.7%	6.7%	10.0%	3.6%	4.78	4.88	+0.1
2028	30	MLB CTX	MIL	5	5	34	144	25	9	5	100%	6.8	17.4%	6.3%	11.1%	3.3%	4.64	4.65	+0.3
2029	31	MLB CTX	MIL	3	3	23	97	16	6	3	100%	7.7	16.7%	6.7%	10.0%	3.6%	4.78	4.88	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		187	65	553	2400	405	162	95	35%	3.0	16.9%	6.8%	10.1%	4.0%	4.78	4.71	-1.0
/ 200 IP	—	RAW		68	24	200	868	146	59	34	35%	2.9	16.9%	6.8%	10.1%	4.0%	4.78	4.71	-0.4
Career	—	MLE		308	168	1108	4695	867	316	154	55%	3.6	18.5%	6.7%	11.7%	3.3%	4.04	4.19	+3.9
/ 200 IP	—	MLE		56	30	200	848	156	57	28	55%	3.6	18.5%	6.7%	11.7%	3.3%	4.04	4.19	+1.4

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 AAANashville Sounds · 61 IPFIP 3.12 → 3.39 (+0.28)K% 23.6% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.64%	—	×0.860	20.33%
BB% (unintentional) /BF	8.00%	—	×0.900	7.20%
HR / BF /BF	1.82%	÷1.000	×1.100	2.00%

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 3.12 → 3.39, 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 AAACharlotte Knights · 49 IPFIP 3.71 → 3.61 (−0.10)K% 20.5% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.50%	—	×0.860	17.63%
BB% (unintentional) /BF	5.50%	—	×0.900	4.95%
HR / BF /BF	3.00%	÷1.320	×1.100	2.50%

Result: FIP 3.71 → 3.61, 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 AAAIndianapolis Indians · 36 IPFIP 3.90 → 4.36 (+0.45)K% 23.1% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.13%	—	×0.880	20.35%
BB% (unintentional) /BF	4.08%	—	×1.050	4.29%
HR / BF /BF	4.08%	÷1.013	×1.100	4.43%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 103).

Result: FIP 3.90 → 4.36, 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 AAAGwinnett Stripers · 55 IPFIP 4.32 → 4.73 (+0.41)K% 17.9% → 15.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.87%	—	×0.880	15.73%
BB% (unintentional) /BF	6.81%	—	×1.050	7.15%
HR / BF /BF	3.40%	÷1.001	×1.100	3.74%

Result: FIP 4.32 → 4.73, 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).

2019 AAAGwinnett Stripers · 121 IPFIP 3.06 → 3.62 (+0.56)K% 23.4% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.41%	—	×0.880	20.60%
BB% (unintentional) /BF	4.96%	—	×1.050	5.21%
HR / BF /BF	2.38%	÷0.899	×1.100	2.91%

Result: FIP 3.06 → 3.62, 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).

2018 AAMississippi Braves · 77 IPFIP 2.26 → 2.94 (+0.68)K% 26.6% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.57%	—	×0.810	21.52%
BB% (unintentional) /BF	7.16%	—	×1.100	7.88%
HR / BF /BF	0.90%	÷0.897	×1.200	1.20%

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 79).

Result: FIP 2.26 → 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).

2018 A+Florida Fire Frogs · 27 IPFIP 1.84 → 2.45 (+0.61)K% 25.0% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.770	19.25%
BB% (unintentional) /BF	6.73%	—	×1.150	7.74%
HR / BF /BF	0.00%	÷0.974	×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 95).

Result: FIP 1.84 → 2.45, 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).

2018 AAAGwinnett Stripers · 22 IPFIP 4.60 → 5.46 (+0.86)K% 32.2% → 28.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.18%	—	×0.880	28.32%
BB% (unintentional) /BF	3.45%	—	×1.050	3.62%
HR / BF /BF	6.90%	÷0.970	×1.100	7.82%

Result: FIP 4.60 → 5.46, 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
Bryse Wilson (OGILVIE)	—	—	—	—	—	3.1%	—	4.74	17.1%	10.7%	57	+0.30	—	—	—
Ryan Jensen R 2005 · 4.35 FIP	29	SW	4.35	15.7%	5.2%	3.5%	.310	—	—	—	—	—	4.35	253	68
Mike Wright Jr. R 2019 · 3.76 FIP	29	SW	3.76	19.9%	7.2%	2.6%	.347	4.19	17.6%	7.3%	169	+0.43	3.76	725	67
Daulton Jefferies R 2024 · 5.05 FIP	28	SP-	5.05	15.0%	7.1%	4.2%	.316	—	—	—	—	—	3.23	265	65
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	65
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	63
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	62
Ross Ohlendorf R 2012 · 4.60 FIP	29	SP-	4.60	16.7%	10.3%	2.9%	.337	3.67	20.8%	14.6%	116	-0.93	3.30	617	62
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	62
Mike Bolsinger R 2017 · 4.26 FIP	29	SW	4.26	20.2%	9.4%	3.0%	.317	—	—	—	—	—	3.42	379	61
Luke Hudson R 2006 · 3.81 FIP	29	SP-	3.81	14.5%	8.4%	1.6%	.307	—	—	—	—	—	3.81	235	61
Austin Pruitt R 2019 · 4.21 FIP	29	SW	4.21	20.5%	5.5%	3.9%	.327	4.13	18.3%	14.4%	95	-0.08	2.94	819	61
Odrisamer Despaigne R 2016 · 3.97 FIP	29	SW	3.97	15.3%	8.5%	2.0%	.316	3.74	17.1%	8.5%	348	-0.23	3.13	689	60
Beau Sulser R 2023 · 5.21 FIP	29	SP-	5.21	13.3%	5.3%	4.7%	.285	6.15	16.3%	10.0%	68	+0.94	2.61	463	60
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	59
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	58
Gabriel Arias R 2019 · 4.11 FIP	29	SP-	4.11	13.9%	6.8%	2.4%	.300	—	—	—	—	—	4.11	195	58
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	57
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	57
Ryan Glynn R 2004 · 5.23 FIP	29	SW	5.23	15.7%	7.9%	4.5%	.234	5.98	18.3%	9.8%	17	+0.75	5.23	226	57
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	57

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	3.0	59	17.0%	7.0%	1.51	4.77
Amaury Telemaco ('05)	2.8	70	15.0%	8.0%	1.48	4.94
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Scott Bailes ('86-'98, -3 WAR*)	3.4	76	15.4%*	8.2%*	1.35*	5.02*
Ron Taylor ('62-'72, 3 WAR*)	4.0	80	17.8%*	6.8%*	1.26*	4.74*
Wade LeBlanc ('21)	4.7	72	16.9%	7.1%	1.45	4.54
Bob Priddy ('62-'71, -1 WAR*)	2.7	77	16.3%*	9.0%*	1.43*	4.80*