Wilian Bormie

P Round Rock Express

Age 26 RHP 6'3" / 175 lbs AAA

Overview

AAAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	ADown East Woo…	23	8	80	3.47	3.57	28.5%	12.5%	—	K 21.1% · BB 14.7% · FIP 4.86
2025	24	MIX2 levels	45	0	64	2.97	2.63	32.7%	13.5%	—	K 25.4% · BB 15.3% · FIP 3.51
2026	25	MIX2 levels	49	1	59	2.61	3.29	28.6%	11.9%	—	K 23.8% · BB 11.5% · FIP 3.81
2027PROJ	26	MLBTEX	1	0	1	4.59	4.59	25.6%	14.5%	-0.0
2028PROJ38% MLB	27	MLBTEX	20	0	21	4.59	4.60	25.3%	14.0%	-0.0
2029PROJ60% MLB	28	MLBTEX	28	0	29	4.63	4.67	25.1%	13.8%	-0.0

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.2 / P90 1.6, comp-based) · star 0% · didn't stick 93%

CompsJeff Ames (age 26) · Dennis Sarfate (age 27) · Sam Gardner (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120112vR 104

ERA4.59

FIP4.59

K%25.6%

BB%14.5%

K-BB%11.1%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

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	21	ROK MLE	DSL TEX Blue	4	4	7	25	10	4	1	100%	1.8	40.0%	16.0%	24.0%	4.0%	2.57	3.94	—
2022	21	ROK RAW	DSL TEX Blue	4	4	7	25	10	4	1	100%	1.8	40.0%	16.0%	24.0%	4.0%	2.57	3.81	—
2023	22	MIX MLE	2 levels	10	7	32	141	40	23	5	70%	3.2	21.6%	20.4%	1.1%	3.6%	4.83	5.84	—
2023	22	MIX RAW	2 levels	10	7	32	141	40	23	5	70%	3.2	28.4%	16.3%	12.1%	3.5%	4.83	4.81	—
2024	23	A MLE	Down East Wood Ducks	23	8	80	337	96	42	8	35%	3.5	21.1%	14.7%	6.4%	3.1%	3.47	4.86	—
2024	23	A MLE	Down East Wood Ducks	23	8	80	337	96	42	8	35%	3.5	21.1%	14.7%	6.4%	3.1%	3.47	4.86	—
2024	23	A RAW	Down East Wood Ducks	23	8	80	337	96	42	8	35%	3.5	28.5%	12.5%	16.0%	2.4%	3.47	3.57	—
2025	24	MIX MLE	2 levels	45	0	64	275	90	37	3	0%	1.4	25.4%	15.3%	10.1%	1.1%	2.97	3.51	—
2025	24	MIX MLE	2 levels	45	0	64	275	90	37	3	0%	1.4	25.4%	15.3%	10.1%	1.1%	2.97	3.51	—
2025	24	MIX RAW	2 levels	45	0	64	275	90	37	3	0%	1.4	32.7%	13.5%	19.3%	1.1%	2.97	2.63	—
2026	25	MIX MLE	2 levels	49	1	59	252	72	30	5	2%	1.2	23.8%	11.5%	12.3%	2.3%	2.61	3.81	—
2026	25	MIX MLE	2 levels	49	1	59	252	72	30	5	2%	1.2	23.8%	11.5%	12.3%	2.3%	2.61	3.81	—
2026	25	MIX RAW	2 levels	49	1	59	252	72	30	5	2%	1.2	28.6%	11.9%	16.7%	2.0%	2.61	3.29	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	TEX	1	0	1	4	1	1	0	0%	1.0	25.6%	14.5%	11.1%	2.6%	4.59	4.59	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	TEX	53	0	56	235	59	33	6	0%	1.0	25.3%	14.0%	11.3%	2.7%	4.59	4.60	-0.0
2029	28	MLB MLE	TEX	46	0	49	205	51	28	6	0%	1.1	25.1%	13.8%	11.2%	2.8%	4.63	4.67	-0.1
2030	29	MLB MLE	TEX	42	0	44	185	46	26	6	0%	1.0	24.8%	13.8%	10.9%	3.0%	4.71	4.78	-0.1
2028	27	MLB CTX	TEX	20	0	21	89	22	12	2	0%	1.1	25.3%	14.0%	11.3%	2.7%	4.59	4.60	-0.0
2029	28	MLB CTX	TEX	28	0	29	122	31	17	3	0%	1.0	25.1%	13.8%	11.2%	2.8%	4.63	4.67	-0.0
2030	29	MLB CTX	TEX	30	0	31	131	32	18	4	0%	1.0	24.8%	13.8%	10.9%	3.0%	4.71	4.78	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		77	0	81	341	85	47	10	0%	1.0	25.0%	13.9%	11.1%	2.9%	4.65	4.31	+0.2
/ 200 IP	—	RAW		190	0	200	844	210	116	25	0%	1.1	25.0%	13.9%	11.1%	2.9%	4.65	4.31	+0.6
Career	—	MLE		131	20	241	1030	241	154	25	15%	1.8	23.4%	14.9%	8.5%	2.5%	3.28	4.36	-0.2
/ 200 IP	—	MLE		109	17	200	854	200	127	21	15%	1.8	23.4%	14.9%	8.5%	2.5%	3.28	4.36	-0.3

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 AAARound Rock Express · 29 IPFIP 3.80 → 3.97 (+0.18)K% 24.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.06%	—	×0.860	20.69%
BB% (unintentional) /BF	15.04%	—	×0.900	13.53%
HR / BF /BF	1.50%	÷1.000	×1.100	1.65%

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 3.80 → 3.97, 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).

2026 AAFrisco RoughRiders · 30 IPFIP 2.71 → 3.63 (+0.92)K% 33.6% → 27.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.61%	—	×0.810	27.23%
BB% (unintentional) /BF	8.40%	—	×1.100	9.24%
HR / BF /BF	2.52%	÷1.000	×1.200	3.03%

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 100).

Result: FIP 2.71 → 3.63, 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+Hub City Spartanburgers · 52 IPFIP 2.61 → 3.54 (+0.93)K% 34.2% → 26.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.23%	—	×0.770	26.36%
BB% (unintentional) /BF	13.06%	—	×1.150	15.02%
HR / BF /BF	1.35%	÷1.215	×1.250	1.39%

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 143).

Result: FIP 2.61 → 3.54, 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 AAFrisco RoughRiders · 12 IPFIP 2.78 → 3.40 (+0.62)K% 26.4% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.42%	—	×0.810	21.40%
BB% (unintentional) /BF	15.09%	—	×1.100	16.60%
HR / BF /BF	0.00%	÷0.976	×1.200	0.00%

Result: FIP 2.78 → 3.40, 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 ADown East Wood Ducks · 80 IPFIP 3.58 → 4.86 (+1.29)K% 28.5% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.49%	—	×0.740	21.08%
BB% (unintentional) /BF	12.46%	—	×1.180	14.71%
HR / BF /BF	2.37%	÷1.008	×1.300	3.06%

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 102).

Result: FIP 3.58 → 4.86, 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 ROKACL Rangers · 23 IPFIP 4.07 → 5.84 (+1.76)K% 31.7% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.73%	—	×0.680	21.58%
BB% (unintentional) /BF	16.35%	—	×1.250	20.43%
HR / BF /BF	2.88%	÷1.124	×1.400	3.59%

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 125).

Result: FIP 4.07 → 5.84, 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 ADown East Wood Ducks · 8 IPFIP 6.52 → 7.91 (+1.38)K% 18.9% → 14.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.92%	—	×0.740	14.00%
BB% (unintentional) /BF	16.22%	—	×1.180	19.14%
HR / BF /BF	5.41%	÷1.082	×1.300	6.49%

Result: FIP 6.52 → 7.91, 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 ROKDSL TEX Blue · 7 IPFIP 3.94 → 6.01 (+2.07)K% 40.0% → 27.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.00%	—	×0.680	27.20%
BB% (unintentional) /BF	16.00%	—	×1.250	20.00%
HR / BF /BF	4.00%	÷1.148	×1.400	4.88%

Result: FIP 3.94 → 6.01, 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).

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
Wilian Bormie (OGILVIE)	—	—	—	—	—	2.6%	—	4.68	25.1%	11.2%	148	+0.09	—	—	—
Jeff Ames R 2017 · 3.94 FIP	26	SU	3.94	25.1%	13.4%	2.3%	.310	4.65	25.4%	10.8%	79	+0.71	3.85	272	88
Dennis Sarfate R 2008 · 4.42 FIP	27	SU	4.42	24.0%	16.7%	2.2%	.263	4.81	19.8%	5.9%	23	+0.39	4.42	103	86
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	85
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	85
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	83
Eduard Santos R 2016 · 3.86 FIP	26	SU	3.86	22.2%	14.4%	1.5%	.248	2.04	31.1%	18.7%	16	-1.82	2.04	138	83
Dustin Antolin R 2016 · 3.43 FIP	26	SU	3.43	23.9%	13.1%	1.3%	.286	4.35	16.2%	1.8%	50	+0.92	2.95	159	83
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	82
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	82
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	82
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	82
Nelson L. Alvarez R 2024 · 4.12 FIP	26	SU	4.12	23.2%	13.1%	2.4%	.282	4.70	18.5%	9.4%	35	+0.58	2.58	233	82
Antonio Menendez R 2024 · 3.67 FIP	25	SU	3.67	23.6%	14.2%	1.4%	.292	4.24	18.5%	5.6%	107	+0.57	2.92	250	81
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	81
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	81
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	81
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	81
Justin Evans R 2022 · 3.63 FIP	25	SU	3.63	23.6%	14.3%	1.3%	.323	4.80	16.4%	-7.9%	14	+1.17	3.63	105	81
Brooks Kriske R 2019 · 3.47 FIP	25	SU	3.47	26.1%	12.2%	1.9%	.245	4.95	28.6%	16.5%	41	+1.48	3.09	246	81
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

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	1.1	54	25.2%	14.1%	1.07	4.62
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*