Chris Roycroft

P Athletics

Age 30 RHP 6'8" / 230 lbs MLB

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MIX2 levels	63	80	3.04	3.24	22.2%	9.7%	1.3	K 20.4% · BB 9.2% · FIP 3.38
2025	28	MIX2 levels	55	67	5.75	3.98	19.9%	11.3%	0.5	K 17.8% · BB 10.5% · FIP 4.20
2026	29	MIX2 levels	54	67	5.91	4.94	16.4%	8.8%	-0.3	K 15.4% · BB 8.6% · FIP 4.85
2027PROJ	30	MLBOAK	60	63	5.25	5.18	16.8%	11.0%	-0.4
2028PROJ95% MLB	31	MLBOAK	53	56	5.26	5.33	16.7%	11.2%	-0.5
2029PROJ95% MLB	32	MLBOAK	50	52	5.38	5.51	16.4%	11.4%	-0.6

Last 3 seasons WAR 1.4 · Next 3 projected WAR -1.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo58

Whiff%10

K%10

xwOBA vs10

CompsWirfin Obispo (age 30) · Esteban Haro (age 30) · Jim Miller (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.25

FIP5.18

K%16.8%

BB%11.0%

K-BB%5.8%

Proj IP63

Value2027 · WAR

Runs saved vs league avg · 63 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4040

CTRL3535

CMD3535

K†4040

Statcast Percentiles

FB Velo

p5895.1

Whiff%

p1017.3%

p1015.3%

xwOBA vs

p100.375

SI (50%)

SL (6%)

CT-1.7 (19%)

FB-2.8 (74%)

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)
2022	25	A+ MLE	Peoria Chiefs	19	0	32	157	40	16	2	0%	1.7	19.6%	11.7%	7.9%	1.4%	4.50	3.71	—
2022	25	A+ RAW	Peoria Chiefs	19	0	32	157	40	16	2	0%	1.7	25.5%	10.2%	15.3%	1.3%	4.50	2.91	—
2023	26	MIX MLE	3 levels	46	0	63	294	64	40	3	0%	1.4	16.5%	14.7%	1.8%	1.4%	5.86	4.31	—
2023	26	MIX RAW	3 levels	46	0	63	294	64	40	3	0%	1.4	21.8%	13.6%	8.2%	1.0%	5.86	3.59	—
2024	27	MIX MLE	2 levels	63	0	80	351	78	34	5	0%	1.3	20.4%	9.2%	11.2%	1.5%	3.04	3.38	+1.1
2024	27	MIX MLE	2 levels	63	0	80	351	78	34	5	0%	1.3	20.4%	9.2%	11.2%	1.5%	3.04	3.38	+1.1
2024	27	MIX RAW	2 levels	63	0	80	351	78	34	5	0%	1.3	22.2%	9.7%	12.5%	1.4%	3.04	3.24	+1.3
2025	28	MIX MLE	2 levels	55	0	67	311	62	35	6	0%	1.2	17.8%	10.5%	7.3%	2.3%	5.75	4.20	+0.3
2025	28	MIX MLE	2 levels	55	0	67	311	62	35	6	0%	1.2	17.8%	10.5%	7.3%	2.3%	5.75	4.20	+0.3
2025	28	MIX RAW	2 levels	55	0	67	311	62	35	6	0%	1.2	19.9%	11.3%	8.7%	1.9%	5.75	3.98	+0.5
2026	29	MIX MLE	2 levels	54	0	67	317	52	28	11	0%	1.2	15.4%	8.6%	6.8%	3.6%	5.91	4.85	-0.2
2026	29	MIX MLE	2 levels	54	0	67	317	52	28	11	0%	1.2	15.4%	8.6%	6.8%	3.6%	5.91	4.85	-0.2
2026	29	MIX RAW	2 levels	54	0	67	317	52	28	11	0%	1.2	16.4%	8.8%	7.6%	3.5%	5.91	4.94	-0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			74	0	93	445	77	48	14	0%	1.3	17.3%	10.8%	6.5%	3.1%	5.98	4.94	-0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	OAK	60	0	63	266	45	29	8	0%	1.1	16.8%	11.0%	5.8%	3.2%	5.25	5.18	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	OAK	56	0	59	249	42	28	8	0%	1.1	16.7%	11.2%	5.5%	3.4%	5.26	5.33	-0.5
2029	32	MLB MLE	OAK	52	0	54	230	38	26	8	0%	1.0	16.4%	11.4%	5.0%	3.6%	5.38	5.51	-0.6
2028	31	MLB CTX	OAK	53	0	56	236	40	26	8	0%	1.1	16.7%	11.2%	5.5%	3.4%	5.26	5.33	-0.5
2029	32	MLB CTX	OAK	50	0	52	220	36	25	8	0%	1.0	16.4%	11.4%	5.0%	3.6%	5.38	5.51	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		177	0	201	900	152	99	30	0%	1.1	16.9%	11.1%	5.9%	3.3%	5.62	4.89	-0.8
/ 200 IP	—	RAW		176	0	200	895	151	98	30	0%	1.1	16.9%	11.1%	5.9%	3.3%	5.62	4.89	-0.8
Career	—	MLE		237	0	309	1430	255	154	30	0%	1.3	17.8%	10.7%	7.1%	2.1%	4.98	4.11	-1.6
/ 200 IP	—	MLE		153	0	200	925	165	99	20	0%	1.3	17.8%	10.7%	7.1%	2.1%	4.98	4.11	-1.5

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
Chris Roycroft (OGILVIE)	—	—	5.18	16.8%	11.0%	3.2%	—	5.42	16.6%	5.3%	113	+0.24	—	—	—
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	85
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	82
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	80
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	80
Carlos Fisher R 2011 · 4.33 FIP	28	SU	4.33	15.5%	9.1%	2.5%	.275	—	—	—	—	—	2.48	245	78
Brandon Puffer R 2004 · 5.23 FIP	28	SU	5.23	13.5%	11.2%	3.4%	.328	—	—	—	—	—	3.55	108	77
Ivan Zavala R 2017 · 5.02 FIP	30	SU	5.02	12.8%	8.0%	3.6%	.286	5.15	12.7%	5.3%	61	+0.13	4.27	209	77
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	76
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	76
Jeff Gray R 2012 · 5.43 FIP	30	SU	5.43	11.0%	9.3%	3.8%	.274	—	—	—	—	—	3.46	127	75
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	75
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	75
Drew Hayes R 2016 · 3.99 FIP	28	SU	3.99	13.8%	10.1%	1.4%	.302	—	—	—	—	—	3.35	117	74
Kyle Snyder R 2007 · 4.83 FIP	29	SU	4.83	16.9%	12.4%	2.9%	.232	—	—	—	—	—	3.80	236	74
Ronald Peña R 2021 · 4.49 FIP	29	SU	4.49	16.5%	10.4%	2.7%	.288	—	—	—	—	—	3.72	187	74
Ryan Doolittle R 2016 · 4.38 FIP	28	SU	4.38	13.9%	7.1%	2.8%	.269	—	—	—	—	—	4.03	101	74
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	73
Ramon Troncoso R 2013 · 4.95 FIP	30	SU	4.95	13.1%	10.9%	2.9%	.260	3.05	17.3%	9.5%	82	-1.90	2.65	310	73
Adrian Garza R 2017 · 4.47 FIP	29	SU	4.47	16.0%	7.0%	3.4%	.351	5.18	9.7%	4.1%	113	+0.71	3.94	229	73
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	73

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.3	45	16.9%	11.2%	1.27	5.53
Jeff Manship ('16)	1.1	32	16.5%	9.3%	1.05	4.82
Will Cunnane ('04)	1.4	46	18.9%	10.4%	1.25	5.26
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*