Landon Knack — OGILVIE

Landon Knack P Oklahoma City Comets

Age 29 RHP 6'2" / 220 lbs AAA peak 0.1 · 2026 ILReassigned to Minors (RM)

2026 ROS PROJECTION42 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 130122vR 113

ERA4.38

FIP4.81

K%19.6%

BB%9.4%

K-BB%10.2%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 48 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†4545

Statcast Percentiles

FB Velo

p3093.1

Whiff%

p2421.6%

p5322.7%

xwOBA vs

p100.362

CH+4.3 (26%)

CU (13%)

FB-3.4 (49%)

SL-4.3 (12%)

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 + 2026 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	19.7%	7.2%	12.5%	2.4%	2.51	3.66	—
2023	26	MIX MLE	2 levels	22	22	100	411	99	30	9	100%	4.6	19.7%	7.2%	12.5%	2.4%	2.51	3.66	—
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	23.7%	8.1%	15.6%	3.9%	3.68	4.25	+1.0
2024	27	MIX MLE	2 levels	29	24	137	567	148	49	21	83%	4.7	23.7%	8.1%	15.6%	3.9%	3.68	4.25	+1.0
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	+1.5
2025	28	MIX MLE	2 levels	31	25	145	643	136	74	25	81%	4.7	18.7%	10.7%	8.0%	4.2%	6.14	5.17	-0.4
2025	28	MIX MLE	2 levels	31	25	145	643	136	74	25	81%	4.7	18.7%	10.7%	8.0%	4.2%	6.14	5.17	-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	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			28	19	119	506	117	39	28	68%	4.3	23.1%	7.7%	15.4%	5.5%	4.24	5.18	-0.4
▸ 2026 season
YTD	29	MLB MLE	Los Angeles Dodgers	12	8	42	175	39	13	5	67%	3.5	19.6%	7.1%	12.5%	0.8%	2.76	2.77	—
YTD	29	MLB MLE	Los Angeles Dodgers	12	8	42	175	39	13	5	67%	3.5	19.6%	7.1%	12.5%	0.8%	2.76	2.77	—
▸ 2026 season — so far · projected rest · full
2026	29	AAA RAW	LAD	9	8	35	140	33	11	1	89%	3.9	23.6%	7.9%	15.7%	0.7%	2.08	2.50	—
2026	29	MLB RAW	LAD	3	0	8	35	6	2	4	0%	2.6	17.1%	5.7%	11.4%	11.4%	5.87	8.65	—
SO FAR	29	MLB RAW	LAD	3	0	8	35	6	2	4	0%	2.6	17.1%	5.7%	11.4%	11.4%	5.87	8.65	—
ROS	29	MLB MLE	LAD	1	1	5	23	5	2	1	100%	5.5	19.6%	9.4%	10.2%	4.0%	4.38	4.81	+0.0
ROS	29	MLB CTX	LAD	1	1	5	21	4	2	1	100%	5.0	19.6%	9.4%	10.2%	4.0%	4.38	4.81	+0.0
2026 TOT	29	MLB MLE	LAD	—	—	48	198	44	15	6	—	—	22.0%	7.7%	14.3%	3.0%	2.95	3.01	+0.9
FULL	29	MLB A+C	LAD	—	—	13	55	44	15	6	—	—	78.6%	27.4%	51.2%	10.7%	10.74	5.79	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	LAD	9	9	56	239	44	23	11	100%	6.3	18.6%	9.5%	9.1%	4.7%	5.44	5.69	-0.5
2028	31	MLB MLE	LAD	9	9	53	223	40	22	11	100%	5.9	17.9%	9.9%	8.0%	4.9%	5.73	5.92	-0.6
2027	30	MLB CTX	LAD	9	9	54	228	42	22	11	100%	6.0	18.6%	9.5%	9.1%	4.7%	5.44	5.69	-0.5
2028	31	MLB CTX	LAD	8	8	50	211	38	21	10	100%	6.2	17.9%	9.9%	8.0%	4.9%	5.73	5.92	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		46	37	228	967	202	84	50	80%	5.0	20.8%	8.6%	12.2%	5.2%	4.85	5.27	-1.0
/ 200 IP	—	RAW		41	33	200	848	177	74	44	81%	4.9	20.8%	8.6%	12.2%	5.2%	4.85	5.27	-0.8
Career	—	MLE		127	107	552	2324	499	195	80	84%	4.3	21.5%	8.4%	13.1%	3.5%	4.14	4.24	-1.5
/ 200 IP	—	MLE		46	39	200	843	181	71	29	84%	4.3	21.5%	8.4%	13.1%	3.5%	4.14	4.24	-1.3

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)	—	—	5.24	19.6%	9.6%	4.0%	—	5.80	18.3%	8.6%	109	+0.56	—	—	—
Trevor Cahill R 2017 · 5.13 FIP	29	SP-	5.13	22.8%	11.5%	4.5%	.321	4.36	21.3%	11.7%	251	-0.77	3.37	556	76
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	75
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	73
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	71
Kris Medlen R 2015 · 4.82 FIP	29	SP-	4.82	15.4%	6.4%	4.0%	.261	5.17	17.1%	8.6%	173	+0.35	4.59	261	70
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	69
Mat Latos R 2017 · 5.66 FIP	29	SP	5.66	16.8%	11.2%	4.7%	.309	—	—	—	—	—	3.60	244	68
Hiram Burgos R 2017 · 4.94 FIP	29	SP	4.94	19.3%	7.5%	4.6%	.351	—	—	—	—	—	3.40	355	67
Randall Delgado R 2019 · 4.82 FIP	29	SP	4.82	17.3%	7.5%	4.1%	.342	—	—	—	—	—	3.09	290	66
Chris Heston R 2017 · 5.88 FIP	29	SP-	5.88	13.6%	10.0%	4.9%	.368	—	—	—	—	—	3.81	321	66
David Griffin R 2023 · 5.85 FIP	27	SP-	5.85	13.9%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	66
Andrew Triggs R 2018 · 4.68 FIP	29	SP	4.68	23.6%	9.9%	4.2%	.263	—	—	—	—	—	1.66	242	65
Tim Adleman R 2017 · 5.35 FIP	29	SP-	5.35	20.3%	9.4%	5.1%	.276	4.30	22.8%	15.0%	117	-1.05	3.63	605	65
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	64
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	64
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	64
Marco Quevedo R 2016 · 4.57 FIP	29	SP	4.57	13.6%	6.2%	3.3%	.258	5.02	11.5%	3.2%	107	+0.45	4.13	300	63
Alfredo Aceves R 2015 · 4.98 FIP	32	SP	4.98	10.0%	6.2%	3.5%	.244	4.93	9.9%	2.0%	107	-0.05	4.78	160	63
Rolando Valdez R 2015 · 4.07 FIP	29	SP	4.07	13.3%	5.9%	2.4%	.301	3.78	13.2%	7.9%	176	-0.29	3.06	258	63
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	63

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.8	55	18.7%	9.6%	1.76	5.32
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Jharel Cotton ('22)	1.2	58	19.8%	9.2%	1.59	4.50
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63