Logan Evans

P Seattle Mariners

Age 26 RHP 6'4" / 215 lbs MLB peak 0.4 · 2028 ILInjured 60-Day (D60)

Overview

MLBSPIL-6040-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	MIX2 levels	5	5	15	0.60	1.50	26.3%	3.5%	—	K 26.3% · BB 3.5% · FIP 1.32
2024	23	AASEA	32	22	107	3.20	3.30	21.9%	9.4%	—	K 17.8% · BB 10.3% · FIP 4.17
2025	24	MIX2 levels	27	26	125	4.67	4.13	19.1%	7.9%	1.9	K 17.9% · BB 7.7% · FIP 4.17
2026	25	No MLB games played
2027PROJ	26	MLBSEA	7	7	41	4.85	5.11	16.2%	9.5%	0.1
2028PROJ88% MLB	27	MLBSEA	10	10	59	4.94	5.06	16.8%	9.4%	0.2
2029PROJ91% MLB	28	MLBSEA	8	8	45	5.00	5.09	17.1%	9.4%	0.2

Last 3 seasons WAR 1.9 · Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo26

xwOBA vs18

K%14

CompsJake Walters (age 26) · André Rienzo (age 26) · Carlos Torres (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131122vR 114

ERA4.85

FIP5.11

K%16.2%

BB%9.5%

K-BB%6.7%

Proj IP49

Value2027 · WAR

Runs saved vs league avg · 49 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL4545

CMD3535

K†4040

Statcast Percentiles

FB Velo

p2692.8

Whiff%

p1019.4%

p1416.9%

xwOBA vs

p180.350

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 the standard WAR scale.

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	22	MIX MLE	2 levels	5	5	15	57	15	2	0	100%	3.0	26.3%	3.5%	22.8%	0.0%	0.60	1.32	—
2023	22	MIX RAW	2 levels	5	5	15	57	15	2	0	100%	3.0	26.3%	3.5%	22.8%	0.0%	0.60	1.50	—
2024	23	AA MLE	Arkansas Travelers	32	22	107	447	98	42	7	69%	3.3	17.8%	10.3%	7.4%	2.3%	3.20	4.17	—
2024	23	AA MLE	Arkansas Travelers	32	22	107	447	98	42	7	69%	3.3	17.8%	10.3%	7.4%	2.3%	3.20	4.17	—
2024	23	AA RAW	Arkansas Travelers	32	22	107	447	98	42	7	69%	3.3	21.9%	9.4%	12.5%	1.6%	3.20	3.30	—
2025	24	MIX MLE	2 levels	27	26	125	545	104	43	16	96%	4.6	17.9%	7.7%	10.3%	2.9%	4.67	4.17	+1.8
2025	24	MIX MLE	2 levels	27	26	125	545	104	43	16	96%	4.6	17.9%	7.7%	10.3%	2.9%	4.67	4.17	+1.8
2025	24	MIX RAW	2 levels	27	26	125	545	104	43	16	96%	4.6	19.1%	7.9%	11.2%	2.9%	4.67	4.13	+1.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			16	15	81	350	59	30	13	94%	5.1	16.9%	8.6%	8.3%	3.7%	4.32	4.83	+0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SEA	7	7	41	173	28	16	6	100%	5.9	16.2%	9.5%	6.7%	3.3%	4.85	5.11	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SEA	11	11	67	283	48	27	9	100%	6.1	16.8%	9.4%	7.4%	3.3%	4.94	5.06	+0.3
2029	28	MLB MLE	SEA	8	8	49	209	36	20	7	100%	6.2	17.1%	9.4%	7.6%	3.4%	5.00	5.09	+0.2
2030	29	MLB MLE	SEA	6	6	38	160	27	15	6	100%	6.3	16.7%	9.6%	7.2%	3.5%	5.11	5.21	+0.1
2031	30	MLB MLE	SEA	5	5	29	121	20	12	4	100%	5.7	16.2%	9.8%	6.3%	3.7%	5.27	5.39	+0.0
2028	27	MLB CTX	SEA	10	10	59	249	42	23	8	100%	5.9	16.8%	9.4%	7.4%	3.3%	4.94	5.06	+0.2
2029	28	MLB CTX	SEA	8	8	45	190	32	18	6	100%	5.6	17.1%	9.4%	7.6%	3.4%	5.00	5.09	+0.2
2030	29	MLB CTX	SEA	6	6	35	148	25	14	5	100%	5.8	16.7%	9.6%	7.2%	3.5%	5.11	5.21	+0.1
2031	30	MLB CTX	SEA	4	4	27	114	18	11	4	100%	6.8	16.2%	9.8%	6.3%	3.7%	5.27	5.39	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		44	43	247	1050	176	97	37	98%	5.6	16.8%	9.2%	7.6%	3.5%	4.81	4.78	+1.8
/ 200 IP	—	RAW		35	35	200	850	142	78	30	98%	5.7	16.8%	9.2%	7.6%	3.5%	4.81	4.78	+1.4
Career	—	MLE		64	53	247	1049	192	90	26	83%	3.9	18.3%	8.6%	9.7%	2.5%	3.78	4.02	+1.1
/ 200 IP	—	MLE		52	43	200	848	155	73	21	83%	3.9	18.3%	8.6%	9.7%	2.5%	3.78	4.02	+0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAATacoma Rainiers · 44 IPFIP 2.84 → 2.96 (+0.12)K% 23.1% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.08%	—	×0.860	19.85%
BB% (unintentional) /BF	6.67%	—	×0.900	6.00%
HR / BF /BF	1.54%	÷1.204	×1.100	1.40%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 141).

Result: FIP 2.84 → 2.96, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAArkansas Travelers · 107 IPFIP 3.30 → 4.17 (+0.87)K% 21.9% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.92%	—	×0.810	17.76%
BB% (unintentional) /BF	9.40%	—	×1.100	10.34%
HR / BF /BF	1.57%	÷0.820	×1.200	2.29%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 64).

Result: FIP 3.30 → 4.17, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AModesto Nuts · 12 IPFIP 1.22 → 1.96 (+0.74)K% 28.9% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.89%	—	×0.740	21.38%
BB% (unintentional) /BF	4.44%	—	×1.180	5.24%
HR / BF /BF	0.00%	÷0.883	×1.300	0.00%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 77).

Result: FIP 1.22 → 1.96, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Logan Evans (OGILVIE)	—	—	5.11	16.2%	9.5%	3.3%	—	5.11	16.9%	7.4%	154	-0.00	—	—	—
Jake Walters R 2022 · 4.03 FIP	26	SP-	4.03	17.0%	9.4%	2.1%	.316	5.85	15.2%	1.3%	72	+1.82	3.51	261	80
André Rienzo R 2014 · 5.13 FIP	26	SP-	5.13	16.3%	10.6%	3.8%	.324	4.13	17.5%	4.8%	171	-1.00	3.53	321	79
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	79
Alejandro Martinez R 2015 · 4.46 FIP	26	SP-	4.46	17.5%	10.9%	2.7%	.393	4.24	9.2%	3.9%	53	-0.22	4.24	166	78
Denny Bautista R 2006 · 4.71 FIP	25	SP-	4.71	13.9%	10.8%	2.6%	.298	4.58	17.5%	3.3%	74	-0.13	3.38	238	78
Nick Payero R 2024 · 4.21 FIP	24	SP-	4.21	16.5%	6.3%	3.1%	.285	5.81	16.6%	4.6%	107	+1.60	4.21	178	78
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	77
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	76
Justin Topa R 2018 · 4.15 FIP	27	SP-	4.15	15.1%	7.9%	2.4%	.374	2.69	19.2%	12.6%	40	-1.46	2.67	284	75
Derek True R 2024 · 4.90 FIP	23	SP-	4.90	18.5%	10.5%	3.7%	.333	4.95	17.6%	5.9%	73	+0.05	4.50	170	75
Nick Pasquale R 2017 · 4.74 FIP	26	SP-	4.74	16.8%	12.7%	2.6%	.306	3.80	17.9%	6.3%	50	-0.94	3.19	308	75
Andrew Quezada R 2023 · 5.33 FIP	26	SP-	5.33	14.4%	9.5%	4.1%	.344	4.90	12.7%	5.3%	173	-0.43	4.40	412	75
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	75
Tyler Uberstine R 2022 · 4.19 FIP	23	SP-	4.19	19.5%	10.5%	2.6%	.302	4.27	22.8%	15.4%	121	+0.08	2.98	262	75
David Griffin R 2022 · 4.71 FIP	26	SP-	4.71	16.6%	9.8%	3.2%	.285	5.83	14.2%	5.0%	81	+1.12	4.43	239	75
Chance Kirby R 2021 · 5.83 FIP	26	SP-	5.83	15.1%	10.0%	5.0%	.242	4.59	18.5%	11.2%	138	-1.24	4.14	325	74
Fredy Quintero R 2015 · 4.55 FIP	27	SP-	4.55	11.3%	8.9%	2.3%	.375	4.38	15.1%	7.3%	113	-0.17	4.29	241	74
David Lebron R 2019 · 4.28 FIP	25	SP-	4.28	18.6%	14.2%	1.7%	.336	5.56	26.7%	12.0%	62	+1.28	4.28	144	74
Seth Shuman R 2024 · 5.47 FIP	26	SP	5.47	14.1%	8.0%	4.7%	.273	4.61	17.0%	11.3%	157	-0.86	3.16	357	74
Justin Miller R 2004 · 5.41 FIP	26	SP-	5.41	12.5%	10.4%	3.7%	.316	2.63	28.6%	21.7%	62	-2.78	2.63	373	74

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.6	53	16.7%	9.3%	1.34	4.82
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Lance Painter ('03)	2.2	56	16.7%	9.0%	1.32	5.24
Giovanni Carrara ('06)	2.4	59	16.3%	9.7%	1.41	4.69
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*