Brayan Restituyo

P Stockton Ports

Age 25 LHP 5'11" / 160 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX2 levels	36	0	57	6.19	3.05	24.8%	9.5%	—	K 17.6% · BB 11.6% · FIP 4.23
2025	23	AOAK	40	1	58	5.43	3.15	26.8%	8.6%	—	K 19.8% · BB 10.1% · FIP 4.14
2026	24	MIX2 levels	24	2	37	8.84	5.55	19.9%	13.1%	—	K 14.3% · BB 15.8% · FIP 6.54
2027PROJ	25	MLBOAK	—	—	0	5.46	5.46	17.6%	13.8%	—
2028PROJ43% MLB	26	MLBOAK	18	0	19	5.33	5.32	18.5%	13.3%	-0.2
2029PROJ63% MLB	27	MLBOAK	23	0	24	5.27	5.28	18.9%	13.0%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control40Command45

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsChris Reed (age 25) · Will Lamb (age 25) · Graeme Stinson (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121129vR 137

ERA5.46

FIP5.46

K%17.6%

BB%13.8%

K-BB%3.9%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL4040

CMD4545

K†4045

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	19	ROK MLE	DSL Athletics	11	5	33	154	43	21	0	45%	3.0	19.0%	17.0%	1.9%	0.0%	6.48	3.66	—
2021	19	ROK RAW	DSL Athletics	11	5	33	154	43	21	0	45%	3.0	27.9%	13.6%	14.3%	0.0%	6.48	2.41	—
2022	20	ROK MLE	ACL Athletics	10	4	25	120	31	14	2	40%	2.5	17.6%	14.6%	3.0%	2.5%	4.97	4.81	—
2022	20	ROK RAW	ACL Athletics	10	4	25	120	31	14	2	40%	2.5	25.8%	11.7%	14.2%	1.7%	4.97	3.34	—
2023	21	ROK MLE	ACL Athletics	16	0	29	137	35	19	3	0%	1.8	17.4%	17.3%	0.0%	3.1%	5.28	5.53	—
2023	21	ROK RAW	ACL Athletics	16	0	29	137	35	19	3	0%	1.8	25.5%	13.9%	11.7%	2.2%	5.28	4.00	—
2024	22	MIX MLE	2 levels	36	0	57	262	65	25	4	0%	1.6	17.6%	11.6%	6.1%	2.1%	6.19	4.23	—
2024	22	MIX MLE	2 levels	36	0	57	262	65	25	4	0%	1.6	17.6%	11.6%	6.1%	2.1%	6.19	4.23	—
2024	22	MIX RAW	2 levels	36	0	57	262	65	25	4	0%	1.6	24.8%	9.5%	15.3%	1.5%	6.19	3.05	—
2025	23	A MLE	Stockton Ports	40	1	58	269	72	23	6	2%	1.4	19.8%	10.1%	9.7%	2.6%	5.43	4.14	—
2025	23	A MLE	Stockton Ports	40	1	58	269	72	23	6	2%	1.4	19.8%	10.1%	9.7%	2.6%	5.43	4.14	—
2025	23	A RAW	Stockton Ports	40	1	58	269	72	23	6	2%	1.4	26.8%	8.6%	18.2%	2.2%	5.43	3.15	—
2026	24	MIX MLE	2 levels	24	2	37	191	38	25	7	8%	1.5	14.3%	15.8%	-1.5%	4.8%	8.84	6.54	—
2026	24	MIX MLE	2 levels	24	2	37	191	38	25	7	8%	1.5	14.3%	15.8%	-1.5%	4.8%	8.84	6.54	—
2026	24	MIX RAW	2 levels	24	2	37	191	38	25	7	8%	1.5	19.9%	13.1%	6.8%	3.7%	8.84	5.55	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	OAK	—	—	0	—	—	—	—	—	—	17.6%	13.8%	3.9%	3.1%	5.46	5.46	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	OAK	42	0	44	184	34	24	6	0%	1.0	18.5%	13.3%	5.2%	3.1%	5.33	5.32	-0.4
2029	27	MLB MLE	OAK	36	0	38	158	30	21	5	0%	1.0	18.9%	13.0%	5.8%	3.2%	5.27	5.28	-0.3
2028	26	MLB CTX	OAK	18	0	19	80	15	11	3	0%	1.1	18.5%	13.3%	5.2%	3.1%	5.33	5.32	-0.2
2029	27	MLB CTX	OAK	23	0	24	101	19	13	3	0%	1.0	18.9%	13.0%	5.8%	3.2%	5.27	5.28	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	0	42	178	33	23	6	0%	1.1	18.7%	13.1%	5.6%	3.2%	5.30	4.92	-0.2
/ 200 IP	—	RAW		190	0	200	844	157	109	28	0%	1.1	18.7%	13.1%	5.6%	3.2%	5.30	4.92	-0.9
Career	—	MLE		137	12	239	1133	201	155	29	9%	1.7	17.7%	13.7%	4.0%	2.6%	6.21	4.74	-0.7
/ 200 IP	—	MLE		115	10	200	948	168	130	24	9%	1.7	17.7%	13.7%	4.0%	2.6%	6.21	4.74	-1.7

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 AStockton Ports · 22 IPFIP 5.85 → 7.53 (+1.68)K% 22.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.32%	—	×0.740	16.52%
BB% (unintentional) /BF	13.39%	—	×1.180	15.80%
HR / BF /BF	5.36%	÷1.000	×1.300	6.96%

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 5.85 → 7.53, 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 ROKACL Athletics · 15 IPFIP 4.01 → 5.13 (+1.12)K% 16.5% → 11.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.46%	—	×0.680	11.19%
BB% (unintentional) /BF	12.66%	—	×1.250	15.82%
HR / BF /BF	1.27%	÷1.000	×1.400	1.77%

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 100).

Result: FIP 4.01 → 5.13, 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).

2025 AStockton Ports · 58 IPFIP 3.15 → 4.14 (+0.99)K% 26.8% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.77%	—	×0.740	19.81%
BB% (unintentional) /BF	8.55%	—	×1.180	10.09%
HR / BF /BF	2.23%	÷1.113	×1.300	2.60%

Result: FIP 3.15 → 4.14, 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 ROKACL Athletics · 30 IPFIP 2.94 → 4.36 (+1.41)K% 23.5% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.53%	—	×0.680	16.00%
BB% (unintentional) /BF	8.09%	—	×1.250	10.11%
HR / BF /BF	1.47%	÷0.852	×1.400	2.42%

Result: FIP 2.94 → 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).

2024 AStockton Ports · 26 IPFIP 3.17 → 4.10 (+0.93)K% 26.2% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.19%	—	×0.740	19.38%
BB% (unintentional) /BF	11.11%	—	×1.180	13.11%
HR / BF /BF	1.59%	÷1.164	×1.300	1.77%

Result: FIP 3.17 → 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).

2023 ROKACL Athletics · 29 IPFIP 3.90 → 5.53 (+1.63)K% 25.5% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.55%	—	×0.680	17.37%
BB% (unintentional) /BF	13.87%	—	×1.250	17.34%
HR / BF /BF	2.19%	÷0.989	×1.400	3.10%

Result: FIP 3.90 → 5.53, 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 ROKACL Athletics · 25 IPFIP 3.31 → 4.81 (+1.50)K% 25.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.83%	—	×0.680	17.57%
BB% (unintentional) /BF	11.67%	—	×1.250	14.58%
HR / BF /BF	1.67%	÷0.950	×1.400	2.45%

Result: FIP 3.31 → 4.81, 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 ROKDSL Athletics · 33 IPFIP 2.47 → 3.66 (+1.19)K% 27.9% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.92%	—	×0.680	18.99%
BB% (unintentional) /BF	13.64%	—	×1.250	17.05%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Result: FIP 2.47 → 3.66, 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
Brayan Restituyo (OGILVIE)	—	—	5.46	17.6%	13.8%	3.1%	—	5.30	18.7%	5.5%	81	-0.16	—	—	—
Chris Reed L 2015 · 4.92 FIP	25	SU	4.92	15.4%	14.5%	2.3%	.284	4.67	16.4%	6.6%	81	-0.25	4.67	137	88
Will Lamb L 2016 · 5.66 FIP	25	SU	5.66	15.3%	11.7%	4.3%	.280	5.78	20.0%	6.0%	67	+0.12	3.64	178	85
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	85
Mitchell Tyranski L 2023 · 5.14 FIP	25	SU	5.14	20.4%	13.6%	3.7%	.269	4.10	20.7%	6.1%	103	-1.04	3.46	145	85
Ryne Slack L 2017 · 4.42 FIP	25	SU	4.42	17.4%	13.2%	2.0%	.308	5.59	13.9%	1.8%	49	+1.17	4.07	212	85
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	84
Joe Kemlage L 2023 · 5.35 FIP	24	SU	5.35	17.6%	11.7%	4.1%	.349	—	—	—	—	—	4.42	128	84
Chandler Jozwiak L 2024 · 5.33 FIP	25	SU	5.33	16.9%	15.3%	3.1%	.259	—	—	—	—	—	2.86	161	84
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	83
Brian Moran L 2015 · 4.50 FIP	26	SU	4.50	17.7%	14.1%	2.0%	.318	2.74	25.0%	17.4%	80	-1.76	1.80	421	83
T.J. Sikkema L 2023 · 6.04 FIP	25	SU	6.04	16.1%	13.2%	4.8%	.245	3.86	17.2%	9.6%	159	-2.18	3.57	300	82
Winston Lavendier L 2017 · 5.06 FIP	24	SU	5.06	17.8%	12.9%	3.4%	.344	4.94	14.2%	4.7%	21	-0.12	2.98	179	82
Frank Garces L 2015 · 5.65 FIP	25	SU	5.65	16.7%	13.3%	4.2%	.267	4.32	16.9%	8.9%	114	-1.33	4.32	306	81
Caden Monke L 2022 · 5.48 FIP	22	SU	5.48	18.9%	12.8%	4.3%	.323	5.38	19.0%	-0.3%	51	-0.10	4.35	164	81
Fred Schlichtholz L 2021 · 4.63 FIP	25	SU	4.63	15.5%	13.4%	2.1%	.343	3.49	22.3%	16.4%	35	-1.14	3.49	175	81
Will Gilbert L 2019 · 4.42 FIP	25	SU	4.42	19.9%	10.3%	3.1%	.306	—	—	—	—	—	2.92	141	81
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	81
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	80
Tommy Thorpe L 2017 · 5.30 FIP	24	SU	5.30	17.6%	13.4%	3.6%	.290	—	—	—	—	—	4.04	232	80
Trent Szkutnik L 2019 · 4.38 FIP	25	SU	4.38	18.4%	11.8%	2.5%	.316	—	—	—	—	—	3.39	429	80

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	0.7	47	18.2%	13.4%	1.22	5.37
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*