Andrew Walters

P Columbus Clippers

Age 26 RHP 6'4" / 222 lbs AAA peak 0.2 · 2027 ILForty Man (40M)

Overview

AAARP40M40-MANROOKIEFG #804

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX3 levels	59	1	59	1.98	2.85	35.0%	12.3%	1.2	K 31.3% · BB 11.4% · FIP 3.31
2025	24	MIX2 levels	14	0	13	2.70	2.35	44.6%	16.1%	0.4	K 39.6% · BB 16.2% · FIP 1.81
2026	25	AAACLE	14	0	12	7.30	7.32	37.1%	17.7%	—	K 31.9% · BB 16.0% · FIP 7.30
2027PROJ	26	MLBCLE	48	0	50	4.47	4.47	33.9%	15.4%	0.0
2028PROJ55% MLB	27	MLBCLE	30	0	32	4.48	4.49	32.8%	14.9%	0.0
2029PROJ70% MLB	28	MLBCLE	38	0	40	4.52	4.56	32.0%	14.6%	-0.0

Last 3 seasons WAR 1.6 · 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

Stuff56Control47Command30FB velo70

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 94%

CompsJon Edwards (age 27) · Peyton Gray (age 26) · Michael Stryffeler (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 102

ERA4.47

FIP4.47

K%33.9%

BB%15.4%

K-BB%18.5%

Proj IP50

Value2027 · WAR

Runs saved vs league avg · 50 IP

Grades · Arsenal · Contract

Scouting Grades

OFP—45

STUF4055

CTRL—50

CMD2030

K†7070

SL+0.7 (34%)

FB-1.9 (66%)

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)
2024	23	MIX MLE	3 levels	59	1	59	243	85	30	5	2%	1.0	31.3%	11.4%	19.9%	2.6%	1.98	3.31	+0.9
2024	23	MIX MLE	3 levels	59	1	59	243	85	30	5	2%	1.0	31.3%	11.4%	19.9%	2.6%	1.98	3.31	+0.9
2024	23	MIX RAW	3 levels	59	1	59	243	85	30	5	2%	1.0	35.0%	12.3%	22.6%	2.1%	1.98	2.85	+1.2
2025	24	MIX MLE	2 levels	14	0	13	56	25	9	1	0%	1.0	39.6%	16.2%	23.4%	0.0%	2.70	1.81	+0.4
2025	24	MIX MLE	2 levels	14	0	13	56	25	9	1	0%	1.0	39.6%	16.2%	23.4%	0.0%	2.70	1.81	+0.4
2025	24	MIX RAW	2 levels	14	0	13	56	25	9	1	0%	1.0	44.6%	16.1%	28.6%	1.8%	2.70	2.35	+0.4
2026	25	AAA MLE	Columbus Clippers	14	0	12	62	23	11	5	0%	0.9	31.9%	16.0%	15.9%	8.9%	7.30	7.30	—
2026	25	AAA MLE	Columbus Clippers	14	0	12	62	23	11	5	0%	0.9	31.9%	16.0%	15.9%	8.9%	7.30	7.30	—
2026	25	AAA RAW	Columbus Clippers	14	0	12	62	23	11	5	0%	0.9	37.1%	17.7%	19.4%	8.1%	7.30	7.32	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			11	1	10	38	8	5	1	9%	0.9	21.1%	13.2%	7.9%	2.6%	1.80	4.30	+0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	CLE	48	0	50	211	71	33	7	0%	1.0	33.9%	15.4%	18.5%	3.5%	4.47	4.47	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	CLE	56	0	59	247	81	37	9	0%	1.0	32.8%	14.9%	17.9%	3.5%	4.48	4.49	+0.0
2029	28	MLB MLE	CLE	54	0	57	240	77	35	8	0%	1.1	32.0%	14.6%	17.4%	3.5%	4.52	4.56	-0.0
2028	27	MLB CTX	CLE	30	0	32	135	44	20	5	0%	1.1	32.8%	14.9%	17.9%	3.5%	4.48	4.49	+0.0
2029	28	MLB CTX	CLE	38	0	40	169	54	25	6	0%	1.1	32.0%	14.6%	17.4%	3.5%	4.52	4.56	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		80	1	82	342	106	50	12	1%	1.0	31.1%	14.5%	16.5%	3.4%	4.17	4.18	+0.4
/ 200 IP	—	RAW		194	2	200	834	258	122	29	1%	1.0	31.1%	14.5%	16.5%	3.4%	4.17	4.18	+0.9
Career	—	MLE		87	1	85	361	118	47	12	1%	1.0	32.7%	12.9%	19.7%	3.2%	2.87	3.76	+0.1
/ 200 IP	—	MLE		206	2	200	853	279	110	28	1%	1.0	32.7%	12.9%	19.7%	3.2%	2.87	3.76	+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
Andrew Walters (OGILVIE)	—	—	4.47	33.9%	15.4%	3.5%	—	4.52	32.4%	17.7%	115	+0.05	—	—	—
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	84
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	79
Michael Stryffeler R 2022 · 4.24 FIP	26	SU	4.24	30.4%	17.3%	2.8%	.277	4.89	19.4%	1.1%	33	+0.65	2.43	140	78
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	78
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	78
Tanner Rainey R 2019 · 3.59 FIP	26	SU	3.59	34.5%	16.4%	2.4%	.304	4.29	31.6%	19.7%	82	+0.70	2.63	563	77
Matt Seelinger R 2021 · 5.37 FIP	26	SU	5.37	28.8%	18.3%	4.3%	.312	4.58	24.8%	12.2%	116	-0.79	3.13	371	74
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.36	21.4%	10.8%	92	+0.05	3.89	168	74
Craig Brooks R 2019 · 5.58 FIP	26	SU	5.58	31.1%	15.2%	5.8%	.255	—	—	—	—	—	3.23	229	73
Paul Gervase R 2024 · 3.46 FIP	24	SU	3.46	32.8%	10.4%	3.3%	.244	4.33	27.3%	15.3%	108	+0.87	3.38	211	73
Edwar Ramirez R 2007 · 5.23 FIP	26	SU	5.23	30.1%	11.7%	5.8%	.333	4.50	24.2%	12.1%	88	-0.73	3.66	109	72
Lucas Wepf R 2024 · 3.80 FIP	24	SU	3.80	27.4%	10.9%	3.0%	.304	4.09	25.4%	11.8%	80	+0.29	2.90	195	72
Eric Orze R 2024 · 3.88 FIP	26	SU	3.88	28.1%	10.9%	3.2%	.261	3.43	22.3%	13.6%	135	-0.45	3.33	354	72
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	72
Gerson Moreno R 2022 · 3.65 FIP	26	SU	3.65	32.8%	14.4%	2.7%	.267	4.20	23.5%	9.3%	128	+0.55	3.37	349	72
Brooks Kriske R 2019 · 3.47 FIP	25	SU	3.47	26.1%	12.2%	1.9%	.245	4.95	28.6%	16.5%	41	+1.48	3.09	246	72
Argenis Angulo R 2019 · 4.09 FIP	25	SU	4.09	27.6%	13.4%	2.9%	.263	6.43	21.0%	5.6%	58	+2.34	3.03	245	72
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	71
J.P. Feyereisen R 2019 · 3.29 FIP	26	SU	3.29	33.5%	13.2%	2.5%	.267	3.33	24.6%	13.0%	80	+0.04	1.38	428	71
J.J. Hoover R 2014 · 4.49 FIP	26	SU	4.49	27.3%	10.2%	4.4%	.270	4.36	22.7%	11.9%	163	-0.13	3.03	418	70

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	0.9	58	32.2%	14.8%	1.33	4.34
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Amir Garrett ('24)	1.7	55	26.7%	13.3%	1.52	4.95
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*