Landon Knack

P Oklahoma City Comets

Age 30 RHP 6'2" / 220 lbs AAA peak 0.2 · 2027

Overview

AAARP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MIX2 levels	29	24	137	3.68	4.01	26.1%	8.6%	2.3	K 24.2% · BB 8.1% · FIP 4.22
2025	28	MIX2 levels	31	25	145	6.14	5.00	21.2%	11.5%	0.7	K 19.1% · BB 10.7% · FIP 5.13
2026	29	MIX2 levels	13	8	46	2.53	3.57	21.6%	6.8%	1.0	K 19.1% · BB 6.3% · FIP 3.70
2027PROJ	30	MLBLAD	9	9	54	4.67	5.06	19.2%	8.8%	0.2
2028PROJ95% MLB	31	MLBLAD	7	7	44	5.04	5.29	18.5%	9.1%	0.1
2029PROJ95% MLB	32	MLBLAD	5	5	32	5.34	5.55	17.7%	9.5%	-0.1

Last 3 seasons WAR 4.0 · Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs51

FB Velo38

K%10

CompsZack Segovia (age 32) · Travis Smith (age 29) · Reinier Roibal (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129121vR 113

ERA4.67

FIP5.06

K%19.2%

BB%8.8%

K-BB%10.5%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†4545

Statcast Percentiles

FB Velo

p3893.7

Whiff%

p1920.9%

p1016.0%

xwOBA vs

p510.311

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	24	MIX MLE	2 levels	16	11	62	246	82	8	8	69%	3.9	26.1%	3.7%	22.4%	4.2%	3.18	3.68	—
2021	24	MIX RAW	2 levels	16	11	62	246	82	8	8	69%	3.9	33.3%	3.3%	30.1%	3.3%	3.18	2.52	—
2022	25	AA MLE	Tulsa Drillers	17	17	65	282	80	27	8	100%	3.8	23.0%	10.5%	12.4%	3.4%	5.01	4.38	—
2022	25	AA RAW	Tulsa Drillers	17	17	65	282	80	27	8	100%	3.8	28.4%	9.6%	18.8%	2.8%	5.01	3.49	—
2023	26	MIX MLE	2 levels	22	22	100	411	99	30	9	100%	4.6	20.0%	7.2%	12.8%	2.4%	2.51	3.64	—
2023	26	MIX RAW	2 levels	22	22	100	411	99	30	9	100%	4.6	24.1%	7.3%	16.8%	2.2%	2.51	3.19	—
2024	27	MIX MLE	2 levels	29	24	137	567	148	49	21	83%	4.7	24.2%	8.1%	16.1%	3.9%	3.68	4.22	+1.9
2024	27	MIX MLE	2 levels	29	24	137	567	148	49	21	83%	4.7	24.2%	8.1%	16.1%	3.9%	3.68	4.22	+1.9
2024	27	MIX RAW	2 levels	29	24	137	567	148	49	21	83%	4.7	26.1%	8.6%	17.5%	3.7%	3.68	4.01	+2.3
2025	28	MIX MLE	2 levels	31	25	145	643	136	74	25	81%	4.7	19.1%	10.7%	8.5%	4.2%	6.14	5.13	+0.4
2025	28	MIX MLE	2 levels	31	25	145	643	136	74	25	81%	4.7	19.1%	10.7%	8.5%	4.2%	6.14	5.13	+0.4
2025	28	MIX RAW	2 levels	31	25	145	643	136	74	25	81%	4.7	21.2%	11.5%	9.6%	3.9%	6.14	5.00	+0.7
2026	29	MIX MLE	2 levels	13	8	46	190	41	13	5	62%	3.6	19.1%	6.3%	12.9%	2.6%	2.53	3.70	+0.9
2026	29	MIX MLE	2 levels	13	8	46	190	41	13	5	62%	3.6	19.1%	6.3%	12.9%	2.6%	2.53	3.70	+0.9
2026	29	MIX RAW	2 levels	13	8	46	190	41	13	5	62%	3.6	21.6%	6.8%	14.7%	2.6%	2.53	3.57	+1.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			29	19	123	521	119	39	28	66%	4.2	22.8%	7.5%	15.4%	5.4%	4.10	5.08	+0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	LAD	9	9	54	228	44	20	9	100%	6.0	19.2%	8.8%	10.5%	3.8%	4.67	5.06	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	LAD	8	8	46	196	36	18	8	100%	5.8	18.5%	9.1%	9.4%	4.0%	5.04	5.29	+0.1
2029	32	MLB MLE	LAD	6	6	34	144	25	14	6	100%	5.7	17.7%	9.5%	8.2%	4.3%	5.34	5.55	-0.1
2028	31	MLB CTX	LAD	7	7	44	186	34	17	8	100%	6.3	18.5%	9.1%	9.4%	4.0%	5.04	5.29	+0.1
2029	32	MLB CTX	LAD	5	5	32	135	24	13	6	100%	6.4	17.7%	9.5%	8.2%	4.3%	5.34	5.55	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		42	32	199	844	178	69	41	76%	4.7	21.0%	8.2%	12.9%	4.9%	4.51	5.05	+0.8
/ 200 IP	—	RAW		42	32	200	846	178	69	41	76%	4.8	21.0%	8.2%	12.9%	4.9%	4.51	5.05	+0.8
Career	—	MLE		128	107	556	2339	507	194	84	84%	4.3	21.7%	8.3%	13.4%	3.6%	4.11	4.29	+0.5
/ 200 IP	—	MLE		46	39	200	842	183	70	30	84%	4.3	21.7%	8.3%	13.4%	3.6%	4.11	4.29	+0.4

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.

2026 AAAOklahoma City Comets · 35 IPFIP 2.50 → 2.72 (+0.22)K% 23.6% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.57%	—	×0.860	20.27%
BB% (unintentional) /BF	7.86%	—	×0.900	7.07%
HR / BF /BF	0.71%	÷1.000	×1.100	0.79%

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 100).

Result: FIP 2.50 → 2.72, 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).

2025 AAAOklahoma City Comets · 103 IPFIP 4.69 → 5.05 (+0.36)K% 20.5% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.52%	—	×0.860	17.65%
BB% (unintentional) /BF	12.01%	—	×0.900	10.81%
HR / BF /BF	3.28%	÷0.956	×1.100	3.77%

Result: FIP 4.69 → 5.05, 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 AAAOklahoma City Baseball Club · 68 IPFIP 3.49 → 3.99 (+0.50)K% 28.1% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.11%	—	×0.860	24.18%
BB% (unintentional) /BF	11.03%	—	×0.900	9.93%
HR / BF /BF	2.49%	÷0.896	×1.100	3.06%

Result: FIP 3.49 → 3.99, 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 AATulsa Drillers · 57 IPFIP 2.21 → 2.80 (+0.59)K% 27.4% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.35%	—	×0.810	22.16%
BB% (unintentional) /BF	5.38%	—	×1.100	5.92%
HR / BF /BF	1.35%	÷1.083	×1.200	1.49%

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 117).

Result: FIP 2.21 → 2.80, 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 AAAOklahoma City Dodgers · 43 IPFIP 4.36 → 4.64 (+0.28)K% 20.2% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.21%	—	×0.860	17.38%
BB% (unintentional) /BF	9.57%	—	×0.900	8.62%
HR / BF /BF	3.19%	÷1.006	×1.100	3.49%

Result: FIP 4.36 → 4.64, 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).

2022 AATulsa Drillers · 65 IPFIP 3.47 → 4.38 (+0.90)K% 28.4% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.37%	—	×0.810	22.98%
BB% (unintentional) /BF	9.57%	—	×1.100	10.53%
HR / BF /BF	2.84%	÷0.993	×1.200	3.43%

Result: FIP 3.47 → 4.38, 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 1.21 → 2.21 (+1.00)K% 35.7% → 27.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.71%	—	×0.770	27.50%
BB% (unintentional) /BF	3.25%	—	×1.150	3.73%
HR / BF /BF	1.30%	÷0.930	×1.250	1.75%

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 1.21 → 2.21, 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 AATulsa Drillers · 23 IPFIP 4.61 → 6.14 (+1.53)K% 29.3% → 23.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.35%	—	×0.810	23.77%
BB% (unintentional) /BF	3.26%	—	×1.100	3.59%
HR / BF /BF	6.52%	÷0.935	×1.200	8.37%

Result: FIP 4.61 → 6.14, 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
Landon Knack (OGILVIE)	—	—	5.06	19.2%	8.8%	3.8%	—	5.40	18.1%	8.9%	80	+0.34	—	—	—
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	74
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	70
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	66
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	581	66
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	66
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	701	66
Tyler Herron R 2017 · 4.02 FIP	30	SP	4.02	16.4%	8.7%	2.2%	.377	—	—	—	—	—	4.02	117	64
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	63
Erik Hiljus R 2002 · 6.07 FIP	29	SP	6.07	14.1%	9.7%	5.3%	.281	—	—	—	—	—	3.35	112	63
Andrew Triggs R 2018 · 4.68 FIP	29	SP	4.68	23.6%	9.9%	4.2%	.263	—	—	—	—	—	1.66	242	62
Forrest Snow R 2019 · 5.53 FIP	30	SP	5.53	18.8%	8.5%	5.3%	.371	—	—	—	—	—	3.02	406	61
Chris Heston R 2017 · 5.88 FIP	29	SP-	5.88	13.6%	10.0%	4.9%	.368	—	—	—	—	—	3.81	321	61
Cody Anderson R 2019 · 4.33 FIP	28	SP	4.33	18.9%	7.5%	3.4%	.328	—	—	—	—	—	3.69	279	61
Stan Spencer R 2000 · 4.42 FIP	30	SP	4.42	19.2%	8.7%	3.4%	.259	—	—	—	—	—	3.61	119	61
Ryan Glynn R 2005 · 5.98 FIP	30	SP-	5.98	18.3%	8.5%	6.1%	.345	—	—	—	—	—	5.23	226	60
Logan Bawcom R 2019 · 5.33 FIP	30	SP-	5.33	17.1%	7.1%	5.1%	.299	—	—	—	—	—	3.73	399	60
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	60
Danny Gutierrez R 2017 · 4.11 FIP	30	SP	4.11	15.1%	6.1%	2.8%	.362	—	—	—	—	—	3.34	239	60
Seth Greisinger R 2004 · 5.38 FIP	29	SP-	5.38	15.5%	6.0%	5.1%	.327	—	—	—	—	—	4.53	219	60
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	60

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	1.3	52	20.6%	8.3%	1.80	4.55
A.J. Cole ('21)	1.0	41	23.0%	9.1%	1.71	4.51
Julio Navarro ('62-'70, 1 WAR*)	1.1	53	21.7%*	7.8%*	1.55*	4.13*
Adam Morgan ('21)	1.8	62	20.8%	7.2%	1.58	4.80
Mike Mayers ('23)	1.3	53	23.0%	8.3%	1.61	5.21
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Mike Willis ('77-'81, 0 WAR*)	1.5	59	18.4%*	9.6%*	1.45*	4.77*