Logan Boyer

P Oklahoma City Comets

Age 29 RHP 6'3" / 215 lbs AAA

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	AALAD	22	27	1.67	2.95	30.8%	11.2%	—	K 25.0% · BB 12.3% · FIP 3.71
2025	27	AAALAD	50	54	5.00	4.58	20.3%	15.5%	—	K 17.5% · BB 14.0% · FIP 4.65
2027PROJ	29	MLBLAD	7	7	5.45	5.45	18.0%	15.2%	-0.1
2028PROJ37% MLB	30	MLBLAD	16	17	5.44	5.51	18.2%	14.9%	-0.2
2029PROJ55% MLB	31	MLBLAD	20	21	5.52	5.63	18.2%	14.8%	-0.3

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control30Command35

CompsGregory Infante (age 29) · Wirfin Obispo (age 30) · Beck Wheeler (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 120

ERA5.45

FIP5.45

K%18.0%

BB%15.2%

K-BB%2.8%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3030

CMD3535

K†4545

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)
2021	23	A+ MLE	Great Lakes Loons	28	24	40	190	42	21	6	86%	1.4	17.0%	12.7%	4.3%	4.2%	5.58	5.60	—
2021	23	A+ RAW	Great Lakes Loons	28	24	40	190	42	21	6	86%	1.4	22.1%	11.1%	11.1%	3.2%	5.58	4.51	—
2024	26	AA MLE	Tulsa Drillers	22	0	27	107	33	12	2	0%	1.2	25.0%	12.3%	12.6%	2.1%	1.67	3.71	—
2024	26	AA MLE	Tulsa Drillers	22	0	27	107	33	12	2	0%	1.2	25.0%	12.3%	12.6%	2.1%	1.67	3.71	—
2024	26	AA RAW	Tulsa Drillers	22	0	27	107	33	12	2	0%	1.2	30.8%	11.2%	19.6%	1.9%	1.67	2.95	—
2025	27	AAA MLE	Oklahoma City Comets	50	0	54	251	51	39	5	0%	1.1	17.5%	14.0%	3.5%	2.3%	5.00	4.65	—
2025	27	AAA MLE	Oklahoma City Comets	50	0	54	251	51	39	5	0%	1.1	17.5%	14.0%	3.5%	2.3%	5.00	4.65	—
2025	27	AAA RAW	Oklahoma City Comets	50	0	54	251	51	39	5	0%	1.1	20.3%	15.5%	4.8%	2.0%	5.00	4.58	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	LAD	7	0	7	30	5	5	1	0%	1.0	18.0%	15.2%	2.8%	2.8%	5.45	5.45	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	LAD	45	0	47	200	36	30	6	0%	1.1	18.2%	14.9%	3.3%	3.1%	5.44	5.51	-0.5
2029	31	MLB MLE	LAD	36	0	38	160	29	24	5	0%	1.1	18.2%	14.8%	3.3%	3.3%	5.52	5.63	-0.5
2028	30	MLB CTX	LAD	16	0	17	72	13	11	2	0%	1.1	18.2%	14.9%	3.3%	3.1%	5.44	5.51	-0.2
2029	31	MLB CTX	LAD	20	0	21	89	16	13	3	0%	1.1	18.2%	14.8%	3.3%	3.3%	5.52	5.63	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		36	0	38	162	29	24	5	0%	1.1	18.2%	14.9%	3.3%	3.2%	5.48	5.19	-0.3
/ 200 IP	—	RAW		190	0	200	844	152	125	26	0%	1.1	18.2%	14.9%	3.3%	3.2%	5.48	5.19	-1.5
Career	—	MLE		100	24	121	548	103	72	16	24%	1.2	18.8%	13.2%	5.6%	2.9%	4.45	4.80	-1.0
/ 200 IP	—	MLE		165	40	200	903	170	119	27	24%	1.2	18.8%	13.2%	5.6%	2.9%	4.45	4.80	-2.4

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 AAAOklahoma City Comets · 54 IPFIP 4.45 → 4.65 (+0.21)K% 20.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.32%	—	×0.860	17.47%
BB% (unintentional) /BF	15.54%	—	×0.900	13.98%
HR / BF /BF	1.99%	÷0.956	×1.100	2.29%

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 91).

Result: FIP 4.45 → 4.65, 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 AATulsa Drillers · 27 IPFIP 2.94 → 3.71 (+0.77)K% 30.8% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.84%	—	×0.810	24.98%
BB% (unintentional) /BF	11.21%	—	×1.100	12.34%
HR / BF /BF	1.87%	÷1.063	×1.200	2.11%

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 113).

Result: FIP 2.94 → 3.71, 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).

2021 A+Great Lakes Loons · 40 IPFIP 4.37 → 5.60 (+1.24)K% 22.1% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.11%	—	×0.770	17.02%
BB% (unintentional) /BF	11.05%	—	×1.150	12.71%
HR / BF /BF	3.16%	÷0.930	×1.250	4.25%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 86).

Result: FIP 4.37 → 5.60, 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 Boyer (OGILVIE)	—	—	5.45	18.0%	15.2%	2.8%	—	5.56	18.2%	3.3%	85	+0.11	—	—	—
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	77
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	77
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	76
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	75
Dan Winkler R 2019 · 4.99 FIP	29	SU	4.99	20.6%	15.2%	3.1%	.237	4.44	23.0%	8.4%	104	-0.55	2.40	231	74
Grant Black R 2023 · 5.49 FIP	29	SU	5.49	15.9%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	74
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	74
Chris Jefferson R 2024 · 5.65 FIP	27	SU	5.65	16.4%	13.6%	4.0%	.308	—	—	—	—	—	3.53	140	74
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	73
Dustin Antolin R 2017 · 4.35 FIP	27	SW	4.35	16.2%	14.4%	1.4%	.368	—	—	—	—	—	2.95	159	72
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	72
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	72
André Rienzo R 2017 · 4.40 FIP	29	SW	4.40	18.9%	15.6%	1.7%	.301	5.33	17.9%	6.1%	29	+0.93	3.53	321	72
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	71
Kyle Snyder R 2007 · 4.83 FIP	29	SU	4.83	16.9%	12.4%	2.9%	.232	—	—	—	—	—	3.80	236	71
Kyle McMyne R 2017 · 4.84 FIP	27	SU	4.84	12.5%	12.8%	2.1%	.330	—	—	—	—	—	3.93	181	70
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	70
Fernando Villalobos R 2015 · 5.33 FIP	30	SU	5.33	8.3%	13.1%	2.3%	.365	4.36	11.4%	3.1%	109	-0.97	4.00	152	70
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	69
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	69

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	0.8	51	18.1%	15.0%	1.17	5.46
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*