Brandan Bidois

P Jacksonville Jumbo Shrimp

Age 26 RHP 6'2" / 174 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	27	31	4.11	3.07	33.3%	12.1%	—	K 26.1% · BB 14.5% · FIP 4.20
2025	24	MIX4 levels	40	61	0.74	2.12	30.0%	11.3%	—	K 23.2% · BB 12.6% · FIP 2.73
2026	25	MIX2 levels	37	38	7.82	6.10	26.3%	17.0%	-0.7	K 24.1% · BB 15.9% · FIP 5.86
2027PROJ	26	MLBPIT	38	40	4.82	5.14	25.8%	15.2%	-0.3
2028PROJ79% MLB	27	MLBPIT	34	36	4.95	5.10	25.5%	14.7%	-0.2
2029PROJ85% MLB	28	MLBPIT	32	34	5.03	5.12	25.2%	14.4%	-0.2

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

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo84

K%65

xwOBA vs10

Career WAR0.0 WAR median (P10 -0.4 / P90 1.5, comp-based) · star 0% · didn't stick 92%

CompsBrandon Cunniff (age 26) · Jose De La Torre (age 27) · Brian Ellington (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA4.82

FIP5.14

K%25.8%

BB%15.2%

K-BB%10.6%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p8496.9

Whiff%

p9037.7%

p6525.0%

xwOBA vs

p100.363

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	20	ROK MLE	FCL Pirates Gold	3	3	6	29	6	4	0	100%	2.0	20.7%	13.8%	6.9%	0.0%	4.50	3.10	—
2021	20	ROK RAW	FCL Pirates Gold	3	3	6	29	6	4	0	100%	2.0	20.7%	13.8%	6.9%	0.0%	4.50	3.10	—
2023	22	A MLE	Bradenton Marauders	22	0	23	101	42	15	1	0%	1.0	30.8%	17.5%	13.2%	1.3%	1.99	3.45	—
2023	22	A RAW	Bradenton Marauders	22	0	23	101	42	15	1	0%	1.0	41.6%	14.9%	26.7%	1.0%	1.99	1.95	—
2024	23	MIX MLE	2 levels	27	0	31	132	44	16	3	0%	1.1	26.1%	14.5%	11.6%	2.7%	4.11	4.20	—
2024	23	MIX MLE	2 levels	27	0	31	132	44	16	3	0%	1.1	26.1%	14.5%	11.6%	2.7%	4.11	4.20	—
2024	23	MIX RAW	2 levels	27	0	31	132	44	16	3	0%	1.1	33.3%	12.1%	21.2%	2.3%	4.11	3.07	—
2025	24	MIX MLE	4 levels	40	0	61	230	69	26	0	0%	1.5	23.2%	12.6%	10.7%	0.0%	0.74	2.73	—
2025	24	MIX MLE	4 levels	40	0	61	230	69	26	0	0%	1.5	23.2%	12.6%	10.7%	0.0%	0.74	2.73	—
2025	24	MIX RAW	4 levels	40	0	61	230	69	26	0	0%	1.5	30.0%	11.3%	18.7%	0.0%	0.74	2.12	—
2026	25	MIX MLE	2 levels	37	0	38	194	51	33	9	0%	1.0	24.1%	15.9%	8.1%	5.1%	7.82	5.86	-0.6
2026	25	MIX MLE	2 levels	37	0	38	194	51	33	9	0%	1.0	24.1%	15.9%	8.1%	5.1%	7.82	5.86	-0.6
2026	25	MIX RAW	2 levels	37	0	38	194	51	33	9	0%	1.0	26.3%	17.0%	9.3%	4.6%	7.82	6.10	-0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			15	0	16	80	20	12	5	0%	1.0	25.0%	15.0%	10.0%	6.2%	6.32	6.99	-0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	PIT	38	0	40	169	44	26	6	0%	1.1	25.8%	15.2%	10.6%	3.5%	4.82	5.14	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	PIT	43	0	45	191	49	28	7	0%	1.1	25.5%	14.7%	10.9%	3.5%	4.95	5.10	-0.3
2029	28	MLB MLE	PIT	38	0	40	167	42	24	6	0%	1.0	25.2%	14.4%	10.9%	3.6%	5.03	5.12	-0.3
2028	27	MLB CTX	PIT	34	0	36	152	39	22	5	0%	1.1	25.5%	14.7%	10.9%	3.5%	4.95	5.10	-0.2
2029	28	MLB CTX	PIT	32	0	34	144	36	21	5	0%	1.1	25.2%	14.4%	10.9%	3.6%	5.03	5.12	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		81	0	85	374	95	55	15	0%	1.1	25.3%	14.6%	10.7%	4.1%	5.23	5.07	-0.5
/ 200 IP	—	RAW		191	0	200	877	223	129	35	0%	1.0	25.3%	14.6%	10.7%	4.1%	5.23	5.07	-1.2
Career	—	MLE		129	3	158	686	172	101	15	2%	1.2	25.0%	14.7%	10.3%	2.1%	3.41	4.02	-1.0
/ 200 IP	—	MLE		163	4	200	867	217	127	19	2%	1.2	25.0%	14.7%	10.3%	2.1%	3.41	4.02	-2.0

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 AAAJacksonville Jumbo Shrimp · 22 IPFIP 5.06 → 5.34 (+0.28)K% 27.2% → 23.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.19%	—	×0.860	23.39%
BB% (unintentional) /BF	18.42%	—	×0.900	16.58%
HR / BF /BF	3.51%	÷1.000	×1.100	3.86%

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 5.06 → 5.34, 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 AAAltoona Curve · 25 IPFIP 1.69 → 2.24 (+0.54)K% 28.0% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.96%	—	×0.810	22.65%
BB% (unintentional) /BF	7.53%	—	×1.100	8.28%
HR / BF /BF	0.00%	÷0.891	×1.200	0.00%

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 78).

Result: FIP 1.69 → 2.24, 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 A+Greensboro Grasshoppers · 21 IPFIP 2.37 → 3.26 (+0.89)K% 31.0% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.03%	—	×0.770	23.90%
BB% (unintentional) /BF	14.94%	—	×1.150	17.18%
HR / BF /BF	0.00%	÷1.048	×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 110).

Result: FIP 2.37 → 3.26, 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 AAAIndianapolis Indians · 13 IPFIP 1.95 → 2.18 (+0.23)K% 34.1% → 29.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.09%	—	×0.860	29.32%
BB% (unintentional) /BF	13.64%	—	×0.900	12.27%
HR / BF /BF	0.00%	÷0.915	×1.100	0.00%

Result: FIP 1.95 → 2.18, 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).

2024 A+Greensboro Grasshoppers · 30 IPFIP 3.13 → 4.20 (+1.07)K% 33.9% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.86%	—	×0.770	26.07%
BB% (unintentional) /BF	12.60%	—	×1.150	14.49%
HR / BF /BF	2.36%	÷1.106	×1.250	2.67%

Result: FIP 3.13 → 4.20, 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 ABradenton Marauders · 23 IPFIP 2.01 → 3.45 (+1.44)K% 41.6% → 30.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.58%	—	×0.740	30.77%
BB% (unintentional) /BF	14.85%	—	×1.180	17.52%
HR / BF /BF	0.99%	÷0.971	×1.300	1.33%

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 94).

Result: FIP 2.01 → 3.45, 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).

2021 ROKFCL Pirates Gold · 6 IPFIP 3.10 → 4.10 (+1.00)K% 20.7% → 14.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.69%	—	×0.680	14.07%
BB% (unintentional) /BF	13.79%	—	×1.250	17.24%
HR / BF /BF	0.00%	÷0.946	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 89).

Result: FIP 3.10 → 4.10, 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
Brandan Bidois (OGILVIE)	—	—	—	—	—	3.5%	—	5.11	25.4%	10.9%	85	-0.03	—	—	—
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	81
Jose De La Torre R 2013 · 5.22 FIP	27	SU	5.22	28.3%	18.9%	3.9%	.308	3.87	17.6%	6.6%	110	-1.35	2.64	141	81
Brian Ellington R 2017 · 4.75 FIP	26	SU	4.75	25.5%	14.9%	3.5%	.283	5.61	22.4%	5.3%	29	+0.86	2.75	233	80
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	79
Esmerling Vasquez R 2010 · 4.37 FIP	26	SU	4.37	22.9%	14.6%	2.5%	.278	4.23	12.5%	1.5%	62	-0.14	3.70	204	79
Manny Acosta R 2007 · 4.05 FIP	26	SU	4.05	23.7%	14.0%	2.1%	.196	4.23	19.0%	9.1%	130	+0.18	3.08	350	78
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.36	21.4%	10.8%	92	+0.05	3.89	168	78
Mitchell Stumpo R 2022 · 4.55 FIP	26	SU	4.55	24.0%	16.8%	2.4%	.225	5.67	21.5%	6.6%	78	+1.12	3.97	158	77
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	77
Todd Wellemeyer R 2005 · 5.70 FIP	26	SU	5.70	21.9%	14.4%	4.8%	.291	4.47	16.5%	6.8%	349	-1.23	3.35	615	77
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	77
José A. Váldez R 2016 · 4.50 FIP	26	SU	4.50	22.2%	13.1%	2.9%	.205	4.22	19.6%	8.3%	211	-0.28	4.02	328	77
Christopher Troye R 2024 · 5.46 FIP	25	SU	5.46	24.2%	17.0%	4.1%	.282	5.61	19.1%	-3.8%	30	+0.15	3.42	158	77
Eduardo Herrera R 2024 · 4.13 FIP	24	SU	4.13	25.5%	15.7%	2.2%	.284	4.44	16.7%	-5.0%	31	+0.31	4.13	127	77
Matt Seelinger R 2021 · 5.37 FIP	26	SU	5.37	28.8%	18.3%	4.3%	.312	4.58	24.8%	12.2%	116	-0.79	3.13	371	77
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	77
Braden Webb R 2021 · 5.15 FIP	26	SU	5.15	25.2%	14.8%	4.2%	.295	—	—	—	—	—	4.48	308	76
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	76
Dan Kolb R 2001 · 4.49 FIP	26	SU	4.49	21.4%	12.9%	2.9%	.295	3.61	14.3%	5.5%	131	-0.88	3.00	283	76
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	76

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	0.8	53	25.5%	14.8%	1.48	5.06
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Amir Garrett ('24)	1.7	55	26.7%	13.3%	1.52	4.95
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*