Will Gervase

P Rancho Cucamonga Quakes

Age 25 LHP 6'9" / 220 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	MIX2 levels	24	21	8.86	6.66	18.3%	33.3%	—	K 13.9% · BB 43.0% · FIP 7.38
2026	24	ALAA	22	21	9.43	6.86	26.4%	38.0%	—	K 19.5% · BB 44.8% · FIP 7.13
2027PROJ	25	MLBLAA	11	12	5.80	5.80	20.2%	20.0%	-0.2
2028PROJ43% MLB	26	MLBLAA	9	9	5.64	5.62	20.8%	18.9%	-0.1

Next 2 projected WAR -0.3Projected 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 100%

CompsFabian Williamson (age 26) · Nick Lee (age 25) · Aaron Brown (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127135vR 143

ERA5.80

FIP5.80

K%20.2%

BB%20.0%

K-BB%0.2%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5050

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	23	MIX MLE	2 levels	24	0	21	120	22	40	0	0%	0.9	13.9%	43.0%	-29.1%	0.0%	8.86	7.38	—
2025	23	MIX MLE	2 levels	24	0	21	120	22	40	0	0%	0.9	13.9%	43.0%	-29.1%	0.0%	8.86	7.38	—
2025	23	MIX RAW	2 levels	24	0	21	120	22	40	0	0%	0.9	18.3%	33.3%	-15.0%	0.0%	8.86	6.66	—
2026	24	A MLE	Rancho Cucamonga Quakes	22	0	21	129	34	49	0	0%	1.0	19.5%	44.8%	-25.3%	0.0%	9.43	7.13	—
2026	24	A MLE	Rancho Cucamonga Quakes	22	0	21	129	34	49	0	0%	1.0	19.5%	44.8%	-25.3%	0.0%	9.43	7.13	—
2026	24	A RAW	Rancho Cucamonga Quakes	22	0	21	129	34	49	0	0%	1.0	26.4%	38.0%	-11.6%	0.0%	9.43	6.86	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	LAA	11	0	12	51	10	10	1	0%	1.1	20.2%	20.0%	0.2%	2.7%	5.80	5.80	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	LAA	19	0	20	84	18	16	2	0%	1.1	20.8%	18.9%	1.9%	2.8%	5.64	5.62	-0.2
2028	26	MLB CTX	LAA	9	0	9	38	8	7	1	0%	1.0	20.8%	18.9%	1.9%	2.8%	5.64	5.62	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	7	1	0%	1.1	20.8%	18.9%	1.9%	2.8%	5.64	5.24	-0.1
/ 200 IP	—	RAW		190	0	200	844	187	164	23	0%	1.1	20.8%	18.9%	1.9%	2.8%	5.64	5.24	-1.6
Career	—	MLE		46	0	42	249	42	109	0	0%	0.9	16.8%	44.0%	-27.2%	0.0%	9.14	7.25	-0.2
/ 200 IP	—	MLE		217	0	200	1176	198	517	0	0%	0.9	16.8%	44.0%	-27.2%	0.0%	9.14	7.25	-2.5

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
Will Gervase (OGILVIE)	—	—	5.80	20.2%	20.0%	2.7%	—	5.62	20.8%	1.9%	20	-0.18	—	—	—
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	86
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	85
Aaron Brown L 2017 · 4.96 FIP	25	SU	4.96	15.0%	17.6%	1.6%	.348	4.38	19.8%	5.2%	127	-0.58	4.04	269	82
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	81
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	81
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	80
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	80
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	79
Davis Schwab L 2022 · 5.70 FIP	25	SU	5.70	20.3%	18.7%	3.5%	.352	—	—	—	—	—	4.46	114	79
Ben Harris L 2024 · 5.66 FIP	24	SU	5.66	23.8%	19.6%	3.8%	.291	4.74	21.1%	0.9%	30	-0.92	3.06	183	78
Mike Matthews L 2000 · 5.76 FIP	26	SU	5.76	14.8%	14.8%	3.7%	.361	4.07	17.6%	8.5%	199	-1.69	3.64	239	78
Yoan Aybar L 2022 · 6.04 FIP	25	SU	6.04	20.9%	19.7%	4.0%	.318	—	—	—	—	—	3.41	166	78
Hector Mercado L 2000 · 4.79 FIP	26	SU	4.79	21.7%	13.3%	3.3%	.270	4.22	22.9%	10.0%	111	-0.57	3.47	125	78
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	78
Cam Booser L 2016 · 6.61 FIP	24	SU	6.61	19.8%	28.0%	3.0%	.274	—	—	—	—	—	2.76	314	78
Chandler Jozwiak L 2024 · 5.33 FIP	25	SU	5.33	16.9%	15.3%	3.1%	.259	—	—	—	—	—	2.86	161	78
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	78
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	77
Chris Nunn L 2015 · 5.49 FIP	24	SU	5.49	13.9%	16.8%	2.6%	.350	3.92	19.3%	6.7%	37	-1.57	3.30	180	77
Nicolo Pinazzi L 2023 · 6.79 FIP	23	SU	6.79	19.3%	26.9%	3.5%	.307	2.58	30.1%	16.3%	62	-4.21	2.58	155	77