Joey Murray — OGILVIE

Joey Murray P Dunedin Blue Jays

Age 29 RHP 6'2" / 195 lbs A peak 0.1 · 2026

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 106

ERA4.71

FIP4.71

K%22.8%

BB%12.0%

K-BB%10.8%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5555

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)
2019	22	MIX MLE	3 levels	27	25	137	561	169	49	10	93%	5.1	23.4%	9.9%	13.4%	2.2%	2.75	3.58	—
2019	22	MIX RAW	3 levels	27	25	137	561	169	49	10	93%	5.1	30.1%	8.7%	21.4%	1.8%	2.75	2.66	—
2021	24	ROK MLE	FCL Blue Jays	1	0	1	5	1	2	1	0%	0.7	20.0%	40.0%	-20.0%	20.0%	27.00	17.46	—
2021	24	ROK RAW	FCL Blue Jays	1	0	1	5	1	2	1	0%	0.7	20.0%	40.0%	-20.0%	20.0%	27.00	28.60	—
2022	25	AA MLE	New Hampshire Fisher Cats	5	4	21	93	23	13	4	80%	4.1	20.0%	15.4%	4.7%	5.0%	7.84	6.12	—
2022	25	AA RAW	New Hampshire Fisher Cats	5	4	21	93	23	13	4	80%	4.1	24.7%	14.0%	10.8%	4.3%	7.84	5.28	—
2023	26	MIX MLE	2 levels	13	1	15	67	12	14	1	8%	1.2	14.5%	27.8%	-13.3%	0.0%	5.40	5.39	—
2023	26	MIX MLE	2 levels	13	1	15	67	12	14	1	8%	1.2	14.5%	27.8%	-13.3%	0.0%	5.40	5.39	—
2023	26	MIX RAW	2 levels	13	1	15	67	12	14	1	8%	1.2	17.9%	20.9%	-3.0%	1.5%	5.40	5.17	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	29	MLB	TOR	1	1	1	4	1	1	0	100%	1.0	22.8%	12.0%	10.8%	3.0%	4.71	4.71	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	TOR	3	3	20	84	19	10	3	100%	6.7	22.5%	12.0%	10.5%	3.2%	4.78	4.85	+0.0
2027	30	MLB CTX	TOR	1	1	6	25	6	3	1	100%	6.0	22.5%	12.0%	10.5%	3.2%	4.78	4.85	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	6	25	6	3	1	100%	6.0	22.5%	12.0%	10.5%	3.2%	4.78	4.47	+0.0
/ 200 IP	—	RAW		33	33	200	844	201	100	33	100%	6.0	22.5%	12.0%	10.5%	3.2%	4.78	4.47	+1.0
Career	—	MLE		46	30	174	726	160	91	18	65%	3.8	22.1%	12.5%	9.6%	2.5%	3.68	4.17	+0.0
/ 200 IP	—	MLE		53	35	200	836	185	104	21	65%	3.8	22.1%	12.5%	9.6%	2.5%	3.68	4.17	+0.1

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
Joey Murray (OGILVIE)	—	—	4.71	22.8%	12.0%	3.0%	—	4.85	22.5%	10.5%	20	+0.14	—	—	—
Mitch Neunborn R 2023 · 3.65 FIP	26	SP-	3.65	24.5%	9.5%	2.6%	.232	5.15	17.6%	6.7%	202	+1.50	3.65	245	71
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	68
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	67
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.58	204	66
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	66
Tyler Cloyd R 2016 · 3.89 FIP	29	SP-	3.89	17.6%	12.4%	1.3%	.211	4.86	16.9%	9.7%	230	+0.97	3.89	250	65
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	65
Ariel Peña R 2017 · 3.99 FIP	28	SP	3.99	22.5%	12.0%	2.3%	.304	6.07	19.9%	-5.7%	21	+2.08	3.74	223	65
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	64
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	64
Justin Masterson R 2015 · 4.10 FIP	30	SP-	4.10	18.2%	10.5%	2.2%	.307	3.73	17.3%	6.4%	196	-0.37	3.50	269	63
Lisalverto Bonilla R 2019 · 4.70 FIP	29	SP-	4.70	15.8%	12.6%	2.5%	.265	—	—	—	—	—	3.22	221	61
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	61
Hiram Burgos R 2017 · 4.94 FIP	29	SP	4.94	19.3%	7.5%	4.6%	.351	—	—	—	—	—	3.40	355	61
Bradin Hagens R 2018 · 4.92 FIP	29	SP-	4.92	14.9%	9.9%	3.3%	.341	5.46	13.2%	0.6%	66	+0.54	3.79	254	60
Paul Clemens R 2017 · 4.72 FIP	29	SW	4.72	14.9%	11.0%	2.7%	.264	—	—	—	—	—	4.58	247	59
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	59
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	59
Steve Johnson R 2017 · 4.53 FIP	29	SW	4.53	20.3%	8.9%	3.7%	.321	—	—	—	—	—	2.22	152	59
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	59