Reid VanScoter

P Arkansas Travelers

Age 28 LHP 6'0" / 190 lbs AA peak 0.4 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	AASEA	22	22	101	4.01	3.18	20.6%	7.0%	—	K 16.7% · BB 7.7% · FIP 4.03
2025	26	AASEA	21	21	87	5.38	4.26	18.2%	8.6%	—	K 14.7% · BB 9.4% · FIP 5.34
2026	27	MIX2 levels	46	0	52	4.70	2.67	25.8%	10.3%	—	K 21.2% · BB 10.3% · FIP 3.13
2027PROJ	28	MLBSEA	66	0	69	4.94	4.94	16.3%	10.4%	-0.3
2028PROJ31% MLB	29	MLBSEA	20	0	21	4.96	5.01	16.8%	10.5%	-0.1
2029PROJ51% MLB	30	MLBSEA	30	0	32	5.04	5.13	17.0%	10.7%	-0.2

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control50Command40

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsChad Bell (age 28) · Carlos Teller (age 28) · Matt Whitehouse (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 111119vR 127

ERA4.94

FIP4.94

K%16.3%

BB%10.4%

K-BB%5.9%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL5050

CMD4040

K†4040

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)
2023	24	A+ MLE	Everett AquaSox	25	25	143	605	157	35	6	100%	5.7	20.0%	6.7%	13.3%	1.2%	3.27	2.93	—
2023	24	A+ RAW	Everett AquaSox	25	25	143	605	157	35	6	100%	5.7	26.0%	5.8%	20.2%	1.0%	3.27	2.19	—
2024	25	AA MLE	Arkansas Travelers	22	22	101	412	85	29	7	100%	4.6	16.7%	7.7%	9.0%	2.5%	4.01	4.03	—
2024	25	AA MLE	Arkansas Travelers	22	22	101	412	85	29	7	100%	4.6	16.7%	7.7%	9.0%	2.5%	4.01	4.03	—
2024	25	AA RAW	Arkansas Travelers	22	22	101	412	85	29	7	100%	4.6	20.6%	7.0%	13.6%	1.7%	4.01	3.18	—
2025	26	AA MLE	Arkansas Travelers	21	21	87	396	72	34	11	100%	4.1	14.7%	9.4%	5.3%	4.2%	5.38	5.34	—
2025	26	AA MLE	Arkansas Travelers	21	21	87	396	72	34	11	100%	4.1	14.7%	9.4%	5.3%	4.2%	5.38	5.34	—
2025	26	AA RAW	Arkansas Travelers	21	21	87	396	72	34	11	100%	4.1	18.2%	8.6%	9.6%	2.8%	5.38	4.26	—
2026	27	MIX MLE	2 levels	46	0	52	233	60	24	2	0%	1.1	21.2%	10.3%	10.9%	0.9%	4.70	3.13	—
2026	27	MIX MLE	2 levels	46	0	52	233	60	24	2	0%	1.1	21.2%	10.3%	10.9%	0.9%	4.70	3.13	—
2026	27	MIX RAW	2 levels	46	0	52	233	60	24	2	0%	1.1	25.8%	10.3%	15.5%	0.9%	4.70	2.67	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SEA	66	0	69	291	48	30	8	0%	1.0	16.3%	10.4%	5.9%	2.8%	4.94	4.94	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SEA	63	0	66	280	47	29	8	0%	1.1	16.8%	10.5%	6.3%	2.9%	4.96	5.01	-0.3
2029	30	MLB MLE	SEA	59	0	62	263	45	28	8	0%	1.1	17.0%	10.7%	6.2%	3.1%	5.04	5.13	-0.4
2028	29	MLB CTX	SEA	20	0	21	89	15	9	3	0%	1.1	16.8%	10.5%	6.3%	2.9%	4.96	5.01	-0.1
2029	30	MLB CTX	SEA	30	0	32	135	23	15	4	0%	1.1	17.0%	10.7%	6.2%	3.1%	5.04	5.13	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		50	0	53	222	38	24	7	0%	1.1	16.9%	10.7%	6.2%	3.1%	5.01	4.71	-0.1
/ 200 IP	—	RAW		190	0	200	844	144	91	27	0%	1.1	16.9%	10.7%	6.2%	3.1%	5.01	4.71	-0.4
Career	—	MLE		114	68	383	1646	298	134	36	60%	3.4	18.1%	8.1%	10.0%	2.2%	4.14	3.81	-0.2
/ 200 IP	—	MLE		60	36	200	860	155	70	19	60%	3.4	18.1%	8.1%	10.0%	2.2%	4.14	3.81	-0.4

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
Reid VanScoter (OGILVIE)	—	—	4.94	16.3%	10.4%	2.8%	—	5.07	16.9%	6.2%	128	+0.13	—	—	—
Chad Bell L 2017 · 4.57 FIP	28	SW	4.57	19.4%	8.9%	3.6%	.341	4.38	18.8%	11.4%	57	-0.19	3.39	393	78
Carlos Teller L 2015 · 3.75 FIP	28	SP-	3.75	13.8%	10.9%	0.8%	.329	4.75	13.3%	3.1%	187	+1.00	3.75	333	77
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	77
John Rheinecker L 2007 · 5.13 FIP	28	SW	5.13	16.7%	10.9%	3.8%	.317	—	—	—	—	—	4.14	121	76
Enrique Lechuga L 2015 · 4.70 FIP	29	SP-	4.70	10.0%	10.5%	2.0%	.354	3.78	10.5%	4.4%	59	-0.92	3.78	137	75
Chris Reed L 2016 · 4.67 FIP	26	SW	4.67	16.4%	9.8%	3.1%	.238	—	—	—	—	—	4.67	137	74
Austin Warner L 2022 · 4.78 FIP	28	SW	4.78	16.9%	9.0%	3.6%	.319	—	—	—	—	—	3.81	491	74
Everett Teaford L 2012 · 5.47 FIP	28	SW	5.47	13.3%	8.0%	4.5%	.291	4.42	13.9%	6.3%	103	-1.05	4.42	208	73
Jordan Carr L 2024 · 4.42 FIP	27	SW	4.42	13.1%	8.8%	2.4%	.295	6.61	11.8%	-1.7%	47	+2.19	3.49	269	73
Randy Keisler L 2005 · 5.07 FIP	29	SW	5.07	16.4%	9.9%	3.8%	.295	5.51	6.5%	0.0%	17	+0.44	5.07	135	72
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	71
Brian Holmes L 2017 · 5.91 FIP	26	SW	5.91	15.5%	11.7%	4.8%	.354	—	—	—	—	—	3.60	205	71
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	71
John Anderson L 2016 · 4.23 FIP	27	SP-	4.23	14.3%	8.7%	2.2%	.367	—	—	—	—	—	4.12	235	70
Onelki Garcia L 2017 · 4.02 FIP	27	SP-	4.02	16.5%	9.3%	2.1%	.328	—	—	—	—	—	2.99	164	70
Houston Harding L 2024 · 4.54 FIP	26	SP-	4.54	16.5%	11.2%	2.6%	.268	5.19	12.0%	0.5%	61	+0.65	3.41	239	69
Eric Wooten L 2015 · 4.02 FIP	25	SP-	4.02	14.6%	7.5%	2.2%	.316	—	—	—	—	—	4.02	116	69
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	69
Miguel Pena L 2019 · 5.08 FIP	28	SW	5.08	16.0%	7.0%	4.4%	.369	—	—	—	—	—	2.98	282	67
Mitch Stallings L 2021 · 5.48 FIP	26	SW	5.48	16.8%	11.5%	4.3%	.328	—	—	—	—	—	2.18	108	67

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	1.0	66	16.7%	10.6%	1.14	4.98
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*