Bryce Alewine

P FCL Tigers

Age 22 RHP 6'4" / 215 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDET	14	4	30	2.08	3.40	17.6%	10.7%	—	K 11.9% · BB 13.4% · FIP 4.45
2026	21	MIX2 levels	23	1	32	6.40	5.73	14.7%	16.6%	—	K 10.4% · BB 20.1% · FIP 6.56
2027PROJ	22	MLBDET	18	0	19	5.84	5.84	16.7%	16.7%	-0.3
2028PROJ49% MLB	23	MLBDET	14	0	15	5.48	5.34	18.8%	14.3%	-0.1

Next 2 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsMichael Perez (age 21) · Cory Thompson (age 22) · Fabian Anguamea (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144136vR 128

ERA5.84

FIP5.84

K%16.7%

BB%16.7%

K-BB%0.1%

Proj IP19

Value2027 · WAR

Runs saved vs league avg · 19 IP

Grades · Contract

Scouting Grades

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 industry-standard fWAR.

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)
2025	20	ROK MLE	FCL Tigers	14	4	30	131	23	14	1	29%	2.2	11.9%	13.4%	-1.4%	1.2%	2.08	4.45	—
2025	20	ROK MLE	FCL Tigers	14	4	30	131	23	14	1	29%	2.2	11.9%	13.4%	-1.4%	1.2%	2.08	4.45	—
2025	20	ROK RAW	FCL Tigers	14	4	30	131	23	14	1	29%	2.2	17.6%	10.7%	6.9%	0.8%	2.08	3.40	—
2026	21	MIX MLE	2 levels	23	1	32	163	24	27	4	4%	1.4	10.4%	20.1%	-9.8%	3.3%	6.40	6.56	—
2026	21	MIX MLE	2 levels	23	1	32	163	24	27	4	4%	1.4	10.4%	20.1%	-9.8%	3.3%	6.40	6.56	—
2026	21	MIX RAW	2 levels	23	1	32	163	24	27	4	4%	1.4	14.7%	16.6%	-1.8%	2.5%	6.40	5.73	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	DET	18	0	19	80	13	13	2	0%	1.1	16.7%	16.7%	0.1%	3.0%	5.84	5.84	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	DET	29	0	30	128	24	18	4	0%	1.0	18.8%	14.3%	4.5%	3.0%	5.48	5.34	-0.3
2028	23	MLB CTX	DET	14	0	15	63	12	9	2	0%	1.1	18.8%	14.3%	4.5%	3.0%	5.48	5.34	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	63	12	9	2	0%	1.1	18.8%	14.3%	4.5%	3.0%	5.48	4.96	-0.1
/ 200 IP	—	RAW		190	0	200	844	162	121	27	0%	1.1	18.8%	14.3%	4.5%	3.0%	5.48	4.96	-1.0
Career	—	MLE		37	5	63	294	33	50	7	14%	1.7	11.1%	17.1%	-6.0%	2.3%	4.31	5.62	-0.3
/ 200 IP	—	MLE		118	16	200	938	104	161	22	14%	1.7	11.1%	17.1%	-6.0%	2.3%	4.31	5.62	-1.8

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
Bryce Alewine (OGILVIE)	—	—	5.84	16.7%	16.7%	3.0%	—	5.34	18.8%	4.5%	30	-0.50	—	—	—
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	91
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	90
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	90
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	88
Cole Ayers R 2022 · 5.58 FIP	22	SU	5.58	13.0%	15.4%	2.9%	.305	4.01	21.2%	10.1%	152	-1.57	3.58	171	87
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	87
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	86
Justin Kelly R 2021 · 5.93 FIP	22	SU	5.93	15.5%	14.3%	4.2%	.259	4.93	15.4%	6.8%	149	-1.00	3.17	196	86
Audry Lugo R 2021 · 4.82 FIP	22	SU	4.82	17.6%	15.8%	2.2%	.333	5.76	13.7%	-2.6%	39	+0.94	4.05	113	86
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	86
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	86
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	86
Brett Hanewich R 2017 · 5.18 FIP	22	SU	5.18	15.9%	17.6%	2.2%	.372	4.32	20.3%	2.8%	108	-0.86	4.24	134	85
Noah Takacs R 2024 · 5.77 FIP	22	SU	5.77	12.5%	16.4%	3.0%	.301	5.68	13.4%	-2.3%	91	-0.09	5.25	130	85
Ocean Gabonia R 2023 · 5.04 FIP	22	SU	5.04	15.4%	14.6%	2.5%	.283	3.29	19.1%	10.9%	91	-1.75	2.79	144	84
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	84
Derrick Turnbow R 2000 · 6.58 FIP	22	SU	6.58	13.8%	19.9%	3.9%	.257	1.43	28.3%	22.6%	15	-5.15	1.43	245	84
Jairo Beras R 2017 · 6.07 FIP	22	SU	6.07	16.4%	16.9%	4.0%	.237	4.35	20.7%	4.5%	96	-1.72	3.48	110	84
Jason Ruffcorn R 2021 · 4.74 FIP	23	SU	4.74	16.6%	14.2%	2.3%	.297	4.69	17.6%	4.2%	136	-0.05	4.01	283	84
Tommy McCollum R 2021 · 6.21 FIP	22	SU	6.21	17.1%	27.2%	2.0%	.235	3.80	26.4%	10.9%	112	-2.41	2.90	219	84