Casey Legumina — OGILVIE

Casey Legumina P Tampa Bay Rays

Age 29 RHP 6'2" / 195 lbs MLB peak 0.2 · 2027

2026 ROS PROJECTION65 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108100vR 92

ERA4.03

FIP4.03

K%20.0%

BB%7.8%

K-BB%12.2%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 71 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL3535

CMD5050

K†5555

Statcast Percentiles

FB Velo

p3093.1

Whiff%

p2021.1%

p1917.7%

xwOBA vs

p510.311

SI (22%)

CH (12%)

SL-1.2 (24%)

FB-1.3 (64%)

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	15	9	49	200	63	16	4	60%	3.3	23.3%	9.3%	14.0%	3.2%	3.28	4.08	—
2021	24	MIX RAW	2 levels	15	9	49	200	63	16	4	60%	3.3	31.5%	8.0%	23.5%	2.0%	3.28	2.57	—
2022	25	MIX MLE	2 levels	33	16	86	385	92	34	11	48%	2.6	19.2%	9.8%	9.4%	3.5%	4.80	4.63	—
2022	25	MIX RAW	2 levels	33	16	86	385	92	34	11	48%	2.6	23.9%	8.8%	15.1%	2.9%	4.80	3.81	—
2023	26	MIX MLE	3 levels	38	1	45	211	51	22	6	3%	1.2	20.9%	10.0%	10.9%	2.8%	4.96	4.16	+0.2
2023	26	MIX MLE	3 levels	38	1	45	211	51	22	6	3%	1.2	20.9%	10.0%	10.9%	2.8%	4.96	4.16	+0.2
2023	26	MIX RAW	3 levels	38	1	45	211	51	22	6	3%	1.2	24.2%	10.4%	13.7%	2.8%	4.96	4.03	+0.3
2024	27	MIX MLE	2 levels	45	0	68	283	64	20	10	0%	1.5	20.0%	6.9%	13.2%	3.4%	3.99	4.12	+0.3
2024	27	MIX MLE	2 levels	45	0	68	283	64	20	10	0%	1.5	20.0%	6.9%	13.2%	3.4%	3.99	4.12	+0.3
2024	27	MIX RAW	2 levels	45	0	68	283	64	20	10	0%	1.5	22.6%	7.1%	15.5%	3.5%	3.99	4.02	+0.4
2025	28	MIX MLE	2 levels	58	1	60	264	68	28	7	2%	1.0	25.1%	10.5%	14.6%	3.3%	4.80	4.11	+0.3
2025	28	MIX MLE	2 levels	58	1	60	264	68	28	7	2%	1.0	25.1%	10.5%	14.6%	3.3%	4.80	4.11	+0.3
2025	28	MIX RAW	2 levels	58	1	60	264	68	28	7	2%	1.0	25.8%	10.6%	15.2%	2.7%	4.80	3.75	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			115	7	137	604	122	48	16	6%	1.2	20.2%	7.9%	12.3%	2.6%	4.93	3.89	+1.1
▸ 2026 season
YTD	29	MLB MLE	Tampa Bay Rays	50	6	65	277	49	14	4	12%	1.3	17.7%	5.1%	12.6%	1.5%	3.72	3.06	+1.2
YTD	29	MLB MLE	Tampa Bay Rays	50	6	65	277	49	14	4	12%	1.3	17.7%	5.1%	12.6%	1.5%	3.72	3.06	+1.2
▸ 2026 season — so far · projected rest · full
2026	29	MLB RAW	TB	50	6	65	277	49	14	4	12%	1.3	17.7%	5.1%	12.6%	1.4%	3.72	3.04	+1.2
SO FAR	29	MLB RAW	TB	50	6	65	277	49	14	4	12%	1.3	17.7%	5.1%	12.6%	1.4%	3.72	3.04	+1.2
ROS	29	MLB MLE	TB	5	0	5	23	5	2	1	0%	1.1	20.0%	7.8%	12.2%	3.0%	4.03	4.03	+0.0
ROS	29	MLB CTX	TB	5	0	5	21	4	2	1	0%	1.0	20.0%	7.8%	12.2%	3.0%	4.03	4.03	+0.0
2026 TOT	29	MLB MLE	TB	—	—	71	300	54	16	5	—	—	17.9%	5.3%	12.6%	1.6%	3.74	3.14	+1.3
FULL	29	MLB A+C	TB	—	—	71	299	54	16	5	—	—	17.9%	5.3%	12.6%	1.6%	3.74	3.11	+1.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	TB	54	0	56	237	47	19	7	0%	1.0	19.9%	8.1%	11.7%	2.8%	4.26	4.35	+0.1
2028	31	MLB MLE	TB	50	0	52	221	42	19	7	0%	1.0	19.1%	8.5%	10.6%	3.0%	4.45	4.58	-0.0
2027	30	MLB CTX	TB	50	0	53	224	44	18	6	0%	1.1	19.9%	8.1%	11.7%	2.8%	4.26	4.35	+0.1
2028	31	MLB CTX	TB	48	0	50	211	40	18	6	0%	1.0	19.1%	8.5%	10.6%	3.0%	4.45	4.58	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		218	7	246	1063	212	86	29	3%	1.1	19.9%	8.1%	11.8%	2.7%	4.67	3.95	+1.7
/ 200 IP	—	RAW		178	6	200	865	173	70	24	3%	1.1	19.9%	8.1%	11.8%	2.7%	4.67	3.95	+1.4
Career	—	MLE		239	33	374	1620	336	138	48	14%	1.6	20.8%	8.5%	12.2%	3.0%	4.28	4.06	+1.2
/ 200 IP	—	MLE		128	18	200	866	180	74	26	14%	1.6	20.8%	8.5%	12.2%	3.0%	4.28	4.06	+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
Casey Legumina (OGILVIE)	—	—	4.53	23.2%	10.1%	3.2%	—	4.46	19.5%	11.2%	109	-0.07	—	—	—
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	84
Drew Storen R 2017 · 3.83 FIP	29	SU	3.83	19.5%	7.3%	2.6%	.289	4.31	19.4%	8.4%	10	+0.48	2.36	172	84
Pedro Beato R 2016 · 4.20 FIP	29	SU	4.20	19.2%	8.5%	3.0%	.275	3.72	18.5%	11.1%	152	-0.48	3.47	295	84
Cory Gearrin R 2015 · 3.52 FIP	29	SU	3.52	22.1%	7.5%	2.5%	.283	3.54	22.2%	13.6%	174	+0.02	3.15	272	82
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	82
Dalier Hinojosa R 2015 · 3.41 FIP	29	SU	3.41	20.4%	9.8%	1.4%	.283	4.30	18.7%	6.1%	24	+0.89	3.41	104	82
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	82
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	82
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	81
Kevin Jepsen R 2015 · 3.47 FIP	31	SU	3.47	20.7%	9.1%	1.8%	.241	5.85	16.9%	7.2%	90	+2.38	3.47	160	81
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	80
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	80
Danny Farquhar R 2016 · 4.02 FIP	29	SU	4.02	21.7%	7.6%	3.3%	.272	3.62	22.3%	11.3%	62	-0.40	3.62	224	80
Ryan Cook R 2015 · 4.73 FIP	28	SU	4.73	16.5%	9.9%	3.2%	.297	3.96	25.1%	14.3%	50	-0.77	3.96	102	80
Al Alburquerque R 2015 · 3.54 FIP	29	SU	3.54	21.4%	11.1%	1.5%	.330	3.23	21.3%	12.5%	114	-0.31	2.84	228	80
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	80
Alex Wilson R 2016 · 3.35 FIP	29	SU	3.35	16.5%	5.4%	1.8%	.278	4.34	17.7%	12.7%	183	+0.99	3.35	326	80
Daniel Hudson R 2016 · 3.39 FIP	29	SU	3.39	21.6%	7.1%	2.2%	.319	3.84	23.5%	13.9%	181	+0.45	1.68	468	80
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	79
Jim Johnson R 2015 · 3.34 FIP	32	SU	3.34	17.2%	6.2%	1.7%	.330	3.63	22.0%	14.1%	185	+0.29	2.56	251	79

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	56	20.8%	8.9%	1.15	4.42
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
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