L.P. Langevin

P Quad Cities River Bandits

Age 24 RHP 6'1" / 225 lbs A+

Overview

A+PROSPECT

Scout OFP40ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	MIX2 levels	18	2	21	5.91	3.29	29.8%	21.2%	—	K 25.0% · BB 25.4% · FIP 4.20
2026	23	A+KC	40	0	55	3.42	3.26	44.9%	16.5%	—	K 34.6% · BB 19.0% · FIP 4.91
2027PROJ	24	MLBKC	64	0	67	4.80	4.80	33.2%	19.1%	-0.2
2028PROJ43% MLB	25	MLBKC	28	0	29	4.59	4.48	32.6%	16.2%	0.0
2029PROJ66% MLB	26	MLBKC	43	0	45	4.50	4.45	32.1%	15.7%	0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control35FB velo70

Career WAR0 WAR median (P10 -0 / P90 2, comp-based) · star 0% · didn't stick 92%

CompsChristopher Troye (age 24) · Justin Yeager (age 24) · Eric Reyzelman (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.80

FIP4.80

K%33.2%

BB%19.1%

K-BB%14.1%

Proj IP67

Value2027 · WAR

Runs saved vs league avg · 67 IP

Grades · Contract

Scouting Grades

OFP—40

STUF—50

CTRL—35

K†7070

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	22	MIX MLE	2 levels	18	2	21	104	31	22	0	11%	1.2	25.0%	25.4%	-0.4%	0.0%	5.91	4.20	—
2025	22	MIX MLE	2 levels	18	2	21	104	31	22	0	11%	1.2	25.0%	25.4%	-0.4%	0.0%	5.91	4.20	—
2025	22	MIX RAW	2 levels	18	2	21	104	31	22	0	11%	1.2	29.8%	21.2%	8.7%	0.0%	5.91	3.29	—
2026	23	A+ MLE	Quad Cities River Bandits	40	0	55	236	106	39	8	0%	1.4	34.6%	19.0%	15.6%	4.2%	3.42	4.91	—
2026	23	A+ MLE	Quad Cities River Bandits	40	0	55	236	106	39	8	0%	1.4	34.6%	19.0%	15.6%	4.2%	3.42	4.91	—
2026	23	A+ RAW	Quad Cities River Bandits	40	0	55	236	106	39	8	0%	1.4	44.9%	16.5%	28.4%	3.4%	3.42	3.26	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	KC	64	0	67	283	94	54	9	0%	1.0	33.2%	19.1%	14.1%	3.1%	4.80	4.80	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	KC	65	0	68	287	94	47	9	0%	1.0	32.6%	16.2%	16.4%	3.1%	4.59	4.48	+0.1
2029	26	MLB MLE	KC	65	0	68	287	92	45	9	0%	1.0	32.1%	15.7%	16.5%	3.1%	4.50	4.45	+0.1
2030	27	MLB MLE	KC	64	0	67	283	90	44	9	0%	1.0	31.7%	15.4%	16.3%	3.1%	4.48	4.48	+0.1
2031	28	MLB MLE	KC	62	0	65	274	86	42	9	0%	1.0	31.3%	15.4%	15.9%	3.2%	4.52	4.56	-0.0
2028	25	MLB CTX	KC	28	0	29	122	40	20	4	0%	1.0	32.6%	16.2%	16.4%	3.1%	4.59	4.48	+0.0
2029	26	MLB CTX	KC	43	0	45	190	61	30	6	0%	1.0	32.1%	15.7%	16.5%	3.1%	4.50	4.45	+0.1
2030	27	MLB CTX	KC	50	0	52	220	70	34	7	0%	1.0	31.7%	15.4%	16.3%	3.1%	4.48	4.48	+0.0
2031	28	MLB CTX	KC	52	0	55	232	73	36	8	0%	1.1	31.3%	15.4%	15.9%	3.2%	4.52	4.56	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		172	0	181	764	243	119	24	0%	1.1	31.8%	15.6%	16.2%	3.1%	4.51	4.11	+0.9
/ 200 IP	—	RAW		190	0	200	844	269	132	27	0%	1.1	31.8%	15.6%	16.2%	3.1%	4.51	4.11	+1.0
Career	—	MLE		58	2	77	340	108	71	10	3%	1.3	31.7%	21.0%	10.7%	2.9%	4.11	4.70	+0.2
/ 200 IP	—	MLE		151	5	200	887	281	186	26	3%	1.3	31.7%	21.0%	10.7%	2.9%	4.11	4.70	+0.1

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
L.P. Langevin (OGILVIE)	—	—	4.80	33.2%	19.1%	3.1%	—	4.47	32.1%	16.4%	203	-0.33	—	—	—
Christopher Troye R 2023 · 3.76 FIP	24	SU	3.76	31.4%	18.2%	1.8%	.287	5.52	22.2%	2.8%	75	+1.76	3.42	158	83
Justin Yeager R 2022 · 4.58 FIP	24	SU	4.58	29.6%	15.8%	3.6%	.230	3.38	19.6%	9.2%	108	-1.20	3.32	265	81
Eric Reyzelman R 2024 · 3.81 FIP	23	SU	3.81	30.3%	15.6%	2.4%	.261	4.78	24.5%	8.6%	94	+0.97	3.81	117	80
Andrew McInvale R 2021 · 4.92 FIP	24	SU	4.92	26.4%	16.3%	3.6%	.278	5.66	20.3%	5.0%	58	+0.74	4.92	103	79
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	78
Evan Johnson R 2021 · 4.44 FIP	24	SU	4.44	28.6%	16.3%	3.1%	.308	4.64	23.6%	6.0%	38	+0.20	4.42	103	78
Brad Boxberger R 2012 · 3.91 FIP	24	SU	3.91	27.5%	14.2%	2.4%	.284	3.44	33.4%	23.7%	150	-0.47	2.63	478	76
Zac Leigh R 2022 · 3.70 FIP	24	SU	3.70	28.5%	12.3%	2.6%	.270	4.45	21.7%	5.8%	130	+0.75	3.70	201	75
Eduardo Herrera R 2024 · 4.13 FIP	24	SU	4.13	25.5%	15.7%	2.2%	.284	4.44	16.7%	-5.0%	31	+0.31	4.13	127	74
Mike Koplove R 2001 · 3.86 FIP	24	SU	3.86	28.0%	16.0%	2.0%	.259	3.45	16.5%	9.4%	186	-0.41	2.95	246	74
Jace Beck R 2023 · 4.77 FIP	23	SU	4.77	29.7%	22.5%	2.4%	.373	4.17	27.0%	14.5%	144	-0.60	4.03	216	73
Joe Barlow R 2019 · 3.60 FIP	23	SU	3.60	30.8%	18.8%	1.3%	.340	3.55	24.1%	14.2%	85	-0.05	2.99	354	73
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	73
Johnathan Lavallee R 2024 · 3.72 FIP	24	SU	3.72	26.2%	14.9%	1.7%	.245	4.50	21.2%	8.8%	95	+0.78	3.72	210	73
Enrique Burgos R 2015 · 3.64 FIP	24	SU	3.64	29.8%	12.8%	2.6%	.383	4.07	22.5%	8.7%	104	+0.43	1.61	162	73
Jose De La Torre R 2013 · 5.22 FIP	27	SU	5.22	28.3%	18.9%	3.9%	.308	3.87	17.6%	6.6%	110	-1.35	2.64	141	72
David McKay R 2019 · 3.64 FIP	24	SU	3.64	31.5%	14.4%	2.5%	.275	5.10	22.2%	11.3%	32	+1.46	3.20	288	72
Enmanuel Mejia R 2023 · 4.54 FIP	24	SU	4.54	28.1%	13.8%	3.8%	.287	5.64	19.7%	7.4%	54	+1.10	1.83	206	72
Eric Cerantola R 2024 · 4.65 FIP	24	SW	4.65	25.7%	16.6%	2.9%	.245	3.74	26.2%	15.9%	100	-0.91	3.37	270	72
Barrett Loseke R 2021 · 4.64 FIP	24	SU	4.64	26.2%	12.8%	3.9%	.282	4.63	22.2%	11.8%	86	-0.01	4.42	152	71

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	1.7	67	32.2%	16.4%	1.21	4.58
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Carlos Marmol ('14)	2.9	72	29.5%	15.7%	0.76	3.57
Matt Mantei ('05)	1.6	54	28.0%	14.1%	0.84	4.07
Mark Clear ('79-'90, 7 WAR*)	4.0	80	33.4%*	15.2%*	0.78*	3.89*
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Ryne Duren ('54-'65, 4 WAR*)	2.9	65	34.5%*	14.6%*	0.75*	4.32*