Codi Heuer — OGILVIE

Codi Heuer P Norfolk Tides

Age 30 RHP 6'5" / 200 lbs AAA peak 0.3 · 2026 ILReassigned to Minors (RM)

2026 ROS PROJECTION50 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9890vR 82

ERA3.51

FIP3.43

K%23.9%

BB%6.7%

K-BB%17.3%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 55 IP

Grades · Arsenal · Contract

Scouting Grades

OFP—45

STUF6050

CTRL5550

CMD6565

K†6060

SL+1.1 (49%)

CH (6%)

FB-3.6 (45%)

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)
2018	22	ROK MLE	Great Falls Voyagers	14	14	38	176	35	14	4	100%	2.7	13.5%	9.9%	3.6%	3.2%	4.74	4.96	—
2018	22	ROK RAW	Great Falls Voyagers	14	14	38	176	35	14	4	100%	2.7	19.9%	8.0%	11.9%	2.3%	4.74	3.73	—
2019	23	MIX MLE	2 levels	42	0	68	275	65	14	0	0%	1.6	18.5%	5.7%	12.8%	0.0%	2.39	2.26	—
2019	23	MIX RAW	2 levels	42	0	68	275	65	14	0	0%	1.6	23.6%	5.1%	18.5%	0.0%	2.39	1.80	—
2020	24	MLB MLE	Chicago White Sox	21	0	24	92	25	9	1	0%	1.1	27.2%	9.8%	17.4%	1.1%	1.52	2.63	+0.5
2020	24	MLB RAW	Chicago White Sox	21	0	24	92	25	9	1	0%	1.1	27.2%	9.8%	17.4%	1.1%	1.52	2.68	+0.5
2021	25	MLB MLE	Chicago Cubs	65	0	67	281	56	20	7	0%	1.0	19.9%	7.1%	12.8%	2.6%	4.28	3.74	+0.6
2021	25	MLB RAW	Chicago Cubs	65	0	67	281	56	20	7	0%	1.0	19.9%	7.1%	12.8%	2.5%	4.28	3.68	+0.7
2023	27	AAA MLE	Iowa Cubs	15	0	13	63	15	11	2	0%	0.8	19.8%	15.7%	4.0%	3.6%	7.82	5.41	—
2023	27	AAA MLE	Iowa Cubs	15	0	13	63	15	11	2	0%	0.8	19.8%	15.7%	4.0%	3.6%	7.82	5.41	—
2023	27	AAA RAW	Iowa Cubs	15	0	13	63	15	11	2	0%	0.8	23.8%	17.5%	6.3%	3.2%	7.82	5.39	—
2025	29	MIX MLE	2 levels	47	0	53	224	67	18	7	0%	1.1	25.3%	7.1%	18.3%	2.5%	3.38	3.22	+0.8
2025	29	MIX MLE	2 levels	47	0	53	224	67	18	7	0%	1.1	25.3%	7.1%	18.3%	2.5%	3.38	3.22	+0.8
2025	29	MIX RAW	2 levels	47	0	53	224	67	18	7	0%	1.1	29.9%	8.0%	21.9%	3.1%	3.38	3.31	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			97	0	105	440	92	36	11	0%	1.1	20.9%	8.2%	12.7%	2.5%	3.76	3.74	+1.0
▸ 2026 season
YTD	30	MLB MLE	Cleveland Guardians	46	0	50	212	41	17	3	0%	1.1	17.5%	6.5%	11.0%	2.0%	2.68	3.54	—
YTD	30	MLB MLE	Cleveland Guardians	46	0	50	212	41	17	3	0%	1.1	17.5%	6.5%	11.0%	2.0%	2.68	3.54	—
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	CLE	38	0	41	166	35	12	3	0%	1.1	21.1%	7.2%	13.9%	1.8%	2.21	3.23	—
2026	30	MLB RAW	CLE	8	0	10	46	6	5	0	0%	1.2	13.0%	10.9%	2.2%	0.0%	4.66	3.38	—
SO FAR	30	MLB RAW	CLE	8	0	10	46	6	5	0	0%	1.2	13.0%	10.9%	2.2%	0.0%	4.66	3.38	—
ROS	30	MLB MLE	CLE	5	0	5	21	5	1	1	0%	1.0	23.9%	6.7%	17.3%	2.8%	3.51	3.43	+0.1
ROS	30	MLB CTX	CLE	5	0	5	21	5	1	1	0%	1.0	23.9%	6.7%	17.3%	2.8%	3.51	3.43	+0.1
2026 TOT	30	MLB MLE	CLE	—	—	55	233	46	18	4	—	—	19.7%	7.9%	11.8%	1.5%	2.76	3.53	+0.7
FULL	30	MLB A+C	CLE	—	—	15	61	46	18	4	—	—	74.9%	29.9%	44.9%	5.8%	10.47	3.76	+0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	CLE	51	0	54	227	52	17	6	0%	1.1	22.9%	7.5%	15.3%	2.8%	3.96	4.02	+0.3
2028	32	MLB MLE	CLE	47	0	50	210	46	17	6	0%	1.1	22.1%	7.9%	14.2%	3.0%	4.15	4.27	+0.2
2027	31	MLB CTX	CLE	49	0	51	215	49	16	6	0%	1.0	22.9%	7.5%	15.3%	2.8%	3.96	4.02	+0.3
2028	32	MLB CTX	CLE	45	0	47	198	44	16	6	0%	1.0	22.1%	7.9%	14.2%	3.0%	4.15	4.27	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		195	0	209	876	190	69	24	0%	1.1	21.7%	7.9%	13.8%	2.7%	3.89	3.74	+2.0
/ 200 IP	—	RAW		187	0	200	840	182	66	23	0%	1.1	21.7%	7.9%	13.8%	2.7%	3.89	3.74	+1.9
Career	—	MLE		250	14	313	1323	262	102	26	6%	1.3	19.8%	7.7%	12.1%	2.0%	3.45	3.48	+1.6
/ 200 IP	—	MLE		160	9	200	845	167	65	17	6%	1.3	19.8%	7.7%	12.1%	2.0%	3.45	3.48	+1.5

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
Codi Heuer (OGILVIE)	—	—	3.71	25.2%	6.7%	2.8%	—	4.14	22.5%	14.8%	104	+0.43	—	—	—
Chris Hatcher R 2015 · 2.92 FIP	30	SU	2.92	27.1%	6.6%	2.3%	.292	4.67	22.6%	14.0%	137	+1.75	2.92	176	80
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	80
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	80
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	80
Chad Gaudin R 2016 · 2.67 FIP	33	SU	2.67	22.8%	6.8%	1.2%	.325	3.15	21.8%	13.9%	58	+0.48	2.02	102	80
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	79
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	77
Matt Albers R 2015 · 3.19 FIP	32	SU	3.19	18.8%	4.7%	2.0%	.252	4.45	20.4%	13.3%	147	+1.26	3.15	244	76
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	76
Austin Adams R 2016 · 3.40 FIP	29	SU	3.40	21.1%	6.1%	2.4%	.376	5.80	20.8%	10.2%	60	+2.40	3.40	162	76
Tom Wilhelmsen R 2015 · 3.07 FIP	31	SU	3.07	22.5%	9.7%	1.1%	.298	5.78	13.8%	4.1%	86	+2.71	3.07	148	75
Chris Martin R 2015 · 3.24 FIP	29	SU	3.24	18.1%	7.0%	1.4%	.319	3.04	20.9%	19.2%	42	-0.20	1.76	416	75
Jose De La Torre R 2016 · 3.12 FIP	30	SU	3.12	22.0%	8.0%	1.6%	.248	2.64	20.5%	14.7%	19	-0.48	2.64	130	75
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	75
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	74
Carlos Torres R 2015 · 3.19 FIP	32	SU	3.19	19.8%	4.9%	2.1%	.315	3.67	20.8%	12.4%	206	+0.48	2.89	326	73
Gregory Infante R 2017 · 2.97 FIP	30	SU	2.97	22.8%	8.2%	1.4%	.251	4.07	22.0%	17.4%	50	+1.10	2.97	230	73
Jumbo Diaz R 2015 · 3.16 FIP	31	SU	3.16	25.2%	6.0%	2.6%	.286	3.65	21.9%	12.2%	152	+0.49	2.80	284	73
Cory Gearrin R 2016 · 3.15 FIP	30	SU	3.15	22.8%	6.1%	2.2%	.279	3.72	21.2%	11.5%	181	+0.57	3.15	272	73
Joakim Soria R 2015 · 3.70 FIP	31	SU	3.70	23.5%	6.6%	3.2%	.258	2.91	26.6%	18.9%	183	-0.79	2.01	380	73

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	52	23.4%	7.4%	1.10	3.96
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Eli Morgan ('24)	1.3	66	23.8%	6.4%	1.46	3.97
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
Adbert Alzolay ('23)	1.1	70	26.1%	7.0%	1.32	3.84
Blake Parker ('21)	1.2	60	26.6%	7.3%	1.40	3.36