Zach Logue — OGILVIE

Zach Logue P Oklahoma City Baseball Club

Age 30 LHP 6'0" / 165 lbs AAA peak 0.5 · 2026

2026 ROS PROJECTION0 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 110118vR 126

ERA4.76

FIP4.89

K%16.4%

BB%7.1%

K-BB%9.3%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 6 IP

Grades · Arsenal · Contract

Scouting Grades

OFP—35

STUF5050

CTRL5560

CMD5050

K†4040

SI (5%)

CU (12%)

CH (5%)

CT-0.5 (5%)

FB-1.1 (79%)

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)
2017	21	ROK MLE	Bluefield Blue Jays	3	2	5	16	5	0	0	67%	1.7	31.2%	0.0%	31.2%	0.0%	0.00	0.46	—
2017	21	ROK RAW	Bluefield Blue Jays	3	2	5	16	5	0	0	67%	1.7	31.2%	0.0%	31.2%	0.0%	0.00	1.10	—
2018	22	MIX MLE	2 levels	27	25	154	633	129	34	16	93%	5.7	15.5%	6.2%	9.3%	3.0%	3.15	4.21	—
2018	22	MIX RAW	2 levels	27	25	154	633	129	34	16	93%	5.7	20.4%	5.4%	15.0%	2.5%	3.15	3.44	—
2019	23	MIX MLE	2 levels	20	18	104	445	83	36	15	90%	5.2	15.1%	8.3%	6.8%	4.9%	4.14	5.58	—
2019	23	MIX RAW	2 levels	20	18	104	445	83	36	15	90%	5.2	18.7%	8.1%	10.6%	3.4%	4.14	4.41	—
2021	25	MIX MLE	2 levels	25	24	125	511	144	27	15	96%	5.0	24.1%	5.6%	18.5%	3.2%	3.67	3.55	—
2021	25	MIX RAW	2 levels	25	24	125	511	144	27	15	96%	5.0	28.2%	5.3%	22.9%	2.9%	3.67	3.00	—
2022	26	MIX MLE	2 levels	31	27	136	642	101	57	38	87%	4.4	14.6%	9.2%	5.5%	6.2%	7.56	6.43	-2.3
2022	26	MIX RAW	2 levels	31	27	136	642	101	57	38	87%	4.4	15.7%	8.9%	6.9%	5.9%	7.56	6.51	-2.4
2023	27	MIX MLE	2 levels	30	21	101	469	95	46	23	70%	3.4	16.8%	9.4%	7.4%	5.8%	6.66	6.07	-1.3
2023	27	MIX MLE	2 levels	30	21	101	469	95	46	23	70%	3.4	16.8%	9.4%	7.4%	5.8%	6.66	6.07	-1.3
2023	27	MIX RAW	2 levels	30	21	101	469	95	46	23	70%	3.4	20.3%	9.8%	10.4%	4.9%	6.66	5.54	-0.7
2024	28	MIX MLE	3 levels	27	13	99	405	95	28	9	48%	3.7	19.1%	6.4%	12.6%	2.6%	2.90	3.73	+1.0
2024	28	MIX MLE	3 levels	27	13	99	405	95	28	9	48%	3.7	19.1%	6.4%	12.6%	2.6%	2.90	3.73	+1.0
2024	28	MIX RAW	3 levels	27	13	99	405	95	28	9	48%	3.7	23.5%	6.9%	16.5%	2.2%	2.90	3.21	+1.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			19	10	70	318	56	22	17	53%	3.7	17.6%	6.9%	10.7%	5.3%	7.20	5.60	-0.6
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	LAD	1	1	6	25	4	2	1	100%	6.0	16.4%	7.1%	9.3%	3.5%	4.76	4.89	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	LAD	11	11	63	267	44	20	10	100%	5.8	16.3%	7.6%	8.7%	3.6%	4.92	5.07	-0.1
2028	32	MLB MLE	LAD	10	10	59	247	40	20	10	100%	5.9	16.0%	8.2%	7.9%	3.8%	5.10	5.27	-0.2
2027	31	MLB CTX	LAD	4	4	23	97	16	7	4	100%	5.8	16.3%	7.6%	8.7%	3.6%	4.92	5.07	-0.0
2028	32	MLB CTX	LAD	5	5	32	135	22	11	5	100%	6.4	16.0%	8.2%	7.9%	3.8%	5.10	5.27	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		28	19	126	553	94	41	26	68%	4.5	17.0%	7.3%	9.6%	4.7%	6.24	5.16	-0.4
/ 200 IP	—	RAW		45	31	200	880	150	65	41	68%	4.4	17.0%	7.3%	9.6%	4.7%	6.24	5.16	-0.6
Career	—	MLE		163	130	725	3121	543	234	135	80%	4.4	17.4%	7.5%	9.9%	4.3%	4.64	4.95	-0.9
/ 200 IP	—	MLE		45	36	200	861	150	65	37	80%	4.4	17.4%	7.5%	9.9%	4.3%	4.64	4.95	-1.0

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
Zach Logue (OGILVIE)	—	—	4.89	16.4%	7.1%	3.5%	—	5.17	16.2%	8.3%	122	+0.28	—	—	—
Kwang Hyun Kim L 2020 · 3.76 FIP	32	SP	3.76	15.6%	6.5%	2.1%	.214	4.21	17.7%	9.5%	107	+0.45	3.76	146	79
Everett Teaford L 2015 · 4.42 FIP	31	SP-	4.42	13.9%	7.6%	2.8%	.324	—	—	—	—	—	4.42	103	75
Jason Vargas L 2015 · 4.31 FIP	32	SP	4.31	14.8%	6.6%	2.9%	.295	4.65	19.2%	12.1%	285	+0.34	4.02	478	71
Jorge Castillo L 2015 · 4.50 FIP	33	SP	4.50	16.8%	9.2%	3.0%	.292	4.95	12.4%	7.2%	186	+0.45	4.50	408	71
Alejandro Soto L 2016 · 3.96 FIP	30	SP	3.96	14.9%	6.4%	2.4%	.367	4.15	15.9%	10.3%	97	+0.19	3.96	280	70
Arturo Lopez L 2015 · 4.80 FIP	32	SP	4.80	13.7%	6.2%	3.8%	.301	4.80	10.9%	4.2%	217	+0.00	4.34	445	70
Edgar Osuna L 2017 · 5.05 FIP	29	SP	5.05	10.6%	8.2%	3.3%	.345	5.09	10.0%	2.8%	83	+0.04	5.05	175	70
Travis Blackley L 2015 · 4.91 FIP	32	SP-	4.91	15.4%	6.4%	4.2%	.324	4.45	10.5%	0.0%	137	-0.46	3.85	225	70
Tomas Solis L 2015 · 4.20 FIP	32	SP	4.20	15.0%	6.2%	2.9%	.264	5.09	12.0%	3.7%	159	+0.89	4.20	327	70
Roy Merritt L 2016 · 3.93 FIP	30	SP-	3.93	13.3%	5.9%	2.2%	.293	3.95	16.2%	10.4%	116	+0.02	3.93	129	70
Brandon Mann L 2016 · 4.72 FIP	32	SP	4.72	19.4%	7.9%	4.1%	.320	3.97	19.0%	7.6%	128	-0.75	3.59	190	69
Matt Lujan L 2017 · 4.69 FIP	28	SP-	4.69	14.3%	6.4%	3.6%	.348	—	—	—	—	—	4.06	227	68
Eric Surkamp L 2016 · 5.09 FIP	29	SP	5.09	16.4%	9.3%	4.0%	.299	—	—	—	—	—	4.00	182	67
Brian Johnson L 2021 · 4.94 FIP	30	SP-	4.94	15.5%	9.1%	3.6%	.287	—	—	—	—	—	3.39	506	67
Orlando Lara L 2015 · 4.29 FIP	30	SP	4.29	15.2%	10.3%	2.1%	.348	4.08	14.2%	7.2%	230	-0.21	3.85	426	67
Jack Snodgrass L 2016 · 5.01 FIP	28	SP-	5.01	15.7%	10.1%	3.6%	.305	—	—	—	—	—	4.66	118	66
Marlon Arias L 2015 · 4.32 FIP	30	SP	4.32	16.8%	12.2%	2.0%	.330	3.73	17.2%	9.5%	22	-0.59	3.73	154	66
Ross Detwiler L 2016 · 4.61 FIP	30	SP-	4.61	14.3%	7.8%	3.2%	.297	5.54	14.8%	6.8%	220	+0.93	3.49	512	66
Carlos Teller L 2017 · 4.63 FIP	30	SP	4.63	12.2%	9.6%	2.5%	.322	4.90	13.1%	-1.1%	60	+0.27	3.75	333	65
James Gillheeney L 2015 · 3.79 FIP	27	SP-	3.79	14.4%	8.0%	1.6%	.300	—	—	—	—	—	3.79	129	65

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	0.9	63	16.2%	7.6%	1.41	4.92
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38