Cody Morse

P Great Lakes Loons

Age 24 LHP 6'6" / 210 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	ALAA	40	1	52	4.33	3.16	23.7%	10.8%	—	K 17.5% · BB 12.7% · FIP 4.08
2026	23	MIX2 levels	25	0	32	3.09	2.98	29.5%	12.1%	—	K 20.7% · BB 15.0% · FIP 4.37
2027PROJ	24	MLBLAD	54	0	57	5.34	5.34	18.7%	14.9%	-0.5
2028PROJ43% MLB	25	MLBLAD	24	0	25	5.14	5.08	19.5%	13.4%	-0.1
2029PROJ66% MLB	26	MLBLAD	36	0	38	5.03	5.00	20.0%	13.0%	-0.2

Next 3 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control35Command40

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsGabriel Sequeira (age 24) · Kelly Secrest (age 24) · Seth Clark (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118126vR 135

ERA5.34

FIP5.34

K%18.7%

BB%14.9%

K-BB%3.8%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL3535

CMD4040

K†4550

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 + 2027 so far)
2025	22	A MLE	Rancho Cucamonga Quakes	40	1	52	241	57	26	3	2%	1.3	17.5%	12.7%	4.8%	1.5%	4.33	4.08	—
2025	22	A MLE	Rancho Cucamonga Quakes	40	1	52	241	57	26	3	2%	1.3	17.5%	12.7%	4.8%	1.5%	4.33	4.08	—
2025	22	A RAW	Rancho Cucamonga Quakes	40	1	52	241	57	26	3	2%	1.3	23.7%	10.8%	12.9%	1.2%	4.33	3.16	—
2026	23	MIX MLE	2 levels	25	0	32	132	39	16	2	0%	1.3	20.7%	15.0%	5.7%	2.0%	3.09	4.37	—
2026	23	MIX MLE	2 levels	25	0	32	132	39	16	2	0%	1.3	20.7%	15.0%	5.7%	2.0%	3.09	4.37	—
2026	23	MIX RAW	2 levels	25	0	32	132	39	16	2	0%	1.3	29.5%	12.1%	17.4%	1.5%	3.09	2.98	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	LAD	54	0	57	241	45	36	7	0%	1.1	18.7%	14.9%	3.8%	2.8%	5.34	5.34	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	LAD	55	0	58	244	48	33	7	0%	1.1	19.5%	13.4%	6.1%	2.8%	5.14	5.08	-0.3
2029	26	MLB MLE	LAD	55	0	58	244	49	32	7	0%	1.1	20.0%	13.0%	7.0%	2.8%	5.03	5.00	-0.3
2028	25	MLB CTX	LAD	24	0	25	106	21	14	3	0%	1.0	19.5%	13.4%	6.1%	2.8%	5.14	5.08	-0.1
2029	26	MLB CTX	LAD	36	0	38	160	32	21	5	0%	1.1	20.0%	13.0%	7.0%	2.8%	5.03	5.00	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		60	0	63	267	53	35	8	0%	1.1	19.8%	13.2%	6.6%	2.8%	5.07	4.65	-0.1
/ 200 IP	—	RAW		190	0	200	844	168	111	25	0%	1.1	19.8%	13.2%	6.6%	2.8%	5.07	4.65	-0.2
Career	—	MLE		65	1	84	373	69	50	6	2%	1.3	18.6%	13.5%	5.1%	1.7%	3.86	4.18	-0.7
/ 200 IP	—	MLE		155	2	200	888	165	120	15	2%	1.3	18.6%	13.5%	5.1%	1.7%	3.86	4.18	-1.1

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
Cody Morse (OGILVIE)	—	—	5.34	18.7%	14.9%	2.8%	—	5.04	19.8%	6.5%	116	-0.30	—	—	—
Gabriel Sequeira L 2022 · 4.60 FIP	24	SU	4.60	19.3%	13.1%	2.7%	.294	3.57	21.4%	10.0%	63	-1.03	2.62	160	91
Kelly Secrest L 2016 · 4.42 FIP	24	SU	4.42	18.6%	13.7%	2.1%	.267	3.47	20.8%	10.4%	38	-0.95	3.11	151	90
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	89
Chris Reed L 2015 · 4.92 FIP	25	SU	4.92	15.4%	14.5%	2.3%	.284	4.67	16.4%	6.6%	81	-0.25	4.67	137	89
Ty Madrigal L 2021 · 4.56 FIP	24	SU	4.56	19.3%	15.7%	2.0%	.329	5.75	17.6%	2.4%	49	+1.19	4.56	107	88
Mitchell Tyranski L 2023 · 5.14 FIP	25	SU	5.14	20.4%	13.6%	3.7%	.269	4.10	20.7%	6.1%	103	-1.04	3.46	145	88
Kumar Nambiar L 2022 · 4.75 FIP	24	SU	4.75	18.5%	14.3%	2.6%	.277	4.94	14.0%	1.0%	60	+0.19	3.10	221	87
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	85
Brian Moran L 2015 · 4.50 FIP	26	SU	4.50	17.7%	14.1%	2.0%	.318	2.74	25.0%	17.4%	80	-1.76	1.80	421	85
Keylan Killgore L 2019 · 4.23 FIP	22	SU	4.23	20.7%	12.7%	2.3%	.307	—	—	—	—	—	3.73	161	85
John Beller L 2023 · 4.16 FIP	24	SU	4.16	21.6%	14.2%	2.0%	.331	—	—	—	—	—	4.16	170	85
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	84
Jackson Lancaster L 2023 · 5.14 FIP	24	SU	5.14	18.9%	17.6%	2.6%	.315	5.15	19.7%	6.8%	122	+0.01	4.15	142	84
Winston Lavendier L 2017 · 5.06 FIP	24	SU	5.06	17.8%	12.9%	3.4%	.344	4.94	14.2%	4.7%	21	-0.12	2.98	179	84
José Manuel Fernández L 2017 · 4.18 FIP	24	SU	4.18	18.1%	12.3%	1.9%	.345	4.91	17.5%	6.6%	121	+0.73	3.35	263	84
Andre Wheeler L 2016 · 5.25 FIP	24	SU	5.25	17.5%	12.1%	3.8%	.347	5.01	14.4%	2.4%	29	-0.24	3.82	150	84
Estevan Gonzalez L 2016 · 4.58 FIP	24	SU	4.58	16.9%	15.7%	1.7%	.240	5.21	12.1%	-1.2%	58	+0.63	4.58	195	84
Dillon Larsen L 2022 · 5.90 FIP	24	SU	5.90	21.7%	21.6%	3.5%	.277	4.65	18.0%	-4.1%	91	-1.25	4.04	120	83
Daniel Stumpf L 2015 · 4.31 FIP	24	SU	4.31	20.8%	11.5%	2.8%	.268	3.54	22.5%	15.3%	123	-0.77	1.84	238	83
Frank Garces L 2015 · 5.65 FIP	25	SU	5.65	16.7%	13.3%	4.2%	.267	4.32	16.9%	8.9%	114	-1.33	4.32	306	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.9	58	19.4%	13.8%	1.10	5.17
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*