Chris Mauloni

P West Michigan Whitecaps

Age 29 RHP 6'2" / 200 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	23	MIX2 levels	32	58	4.34	3.19	34.1%	9.8%	—	K 25.6% · BB 11.5% · FIP 4.82
2023	25	ADET	30	35	4.15	5.03	25.6%	20.1%	—	K 19.0% · BB 23.7% · FIP 5.94
2024	26	MIX2 levels	26	40	3.60	4.00	22.4%	9.1%	—	K 16.2% · BB 9.1% · FIP 5.42
2027PROJ	29	MLBDET	20	21	4.47	4.47	21.7%	9.2%	0.0
2028PROJ30% MLB	30	MLBDET	6	6	4.56	4.63	21.5%	9.5%	-0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Joe Nelson (age 31) · Tyler Sturdevant (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 102

ERA4.47

FIP4.47

K%21.7%

BB%9.2%

K-BB%12.6%

Proj IP21

Value2027 · WAR

Runs saved vs league avg · 21 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)
2021	23	MIX MLE	2 levels	32	0	58	255	87	25	8	0%	1.8	25.6%	11.5%	14.2%	4.4%	4.34	4.82	—
2021	23	MIX RAW	2 levels	32	0	58	255	87	25	8	0%	1.8	34.1%	9.8%	24.3%	3.1%	4.34	3.19	—
2023	25	A MLE	Lakeland Flying Tigers	30	0	35	164	42	33	4	0%	1.2	19.0%	23.7%	-4.8%	2.6%	4.15	5.94	—
2023	25	A RAW	Lakeland Flying Tigers	30	0	35	164	42	33	4	0%	1.2	25.6%	20.1%	5.5%	2.4%	4.15	5.03	—
2024	26	MIX MLE	2 levels	26	0	40	165	37	15	5	0%	1.5	16.2%	9.1%	7.1%	4.6%	3.60	5.42	—
2024	26	MIX MLE	2 levels	26	0	40	165	37	15	5	0%	1.5	16.2%	9.1%	7.1%	4.6%	3.60	5.42	—
2024	26	MIX RAW	2 levels	26	0	40	165	37	15	5	0%	1.5	22.4%	9.1%	13.3%	3.0%	3.60	4.00	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	DET	20	0	21	89	19	8	3	0%	1.1	21.7%	9.2%	12.6%	3.0%	4.47	4.47	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	DET	19	0	20	85	18	8	3	0%	1.1	21.5%	9.5%	12.1%	3.2%	4.56	4.63	-0.0
2028	30	MLB CTX	DET	6	0	6	25	5	2	1	0%	1.0	21.5%	9.5%	12.1%	3.2%	4.56	4.63	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	2	1	0%	1.0	21.5%	9.5%	12.1%	3.2%	4.56	4.25	+0.0
/ 200 IP	—	RAW		190	0	200	844	197	66	33	0%	1.1	21.5%	9.5%	12.1%	3.2%	4.56	4.25	+0.7
Career	—	MLE		88	0	133	584	123	83	23	0%	1.5	21.1%	14.2%	6.9%	4.0%	4.07	5.30	-0.0
/ 200 IP	—	MLE		133	0	200	880	186	125	35	0%	1.5	21.1%	14.2%	6.9%	4.0%	4.07	5.30	-0.2

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 Mauloni (OGILVIE)	—	—	4.47	21.7%	9.2%	3.0%	—	4.63	21.5%	12.1%	20	+0.16	—	—	—
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	89
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	86
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	86
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	84
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	84
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	83
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	82
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	81
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	81
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	81
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	80
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	80
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	80
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	80
Brian Sanches R 2008 · 4.74 FIP	29	SU	4.74	18.5%	9.3%	3.7%	.378	4.01	20.5%	10.8%	182	-0.73	3.39	229	80
Joel Peralta R 2005 · 4.67 FIP	29	SU	4.67	20.7%	8.3%	4.1%	.227	4.27	18.0%	13.3%	214	-0.40	2.70	648	79
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	79
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	78
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	78
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	78