Cody Stashak — OGILVIE

Cody Stashak P Sacramento River Cats

Age 32 RHP 6'2" / 180 lbs AAA

2026 ROS PROJECTION0 act + 11 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 111103vR 95

ERA3.96

FIP4.11

K%23.7%

BB%5.6%

K-BB%18.1%

ROS IP11

Value2026 · WAR

Runs saved vs league avg · 11 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6565

CTRL5555

CMD7070

K†5555

Statcast Percentiles

FB Velo

p1090.6

Whiff%

p6728.0%

p5523.1%

xwOBA vs

p880.275

SL+3.2

FB-1.4

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)
2015	21	ROK MLE	Elizabethton Twins	10	10	45	183	53	11	4	100%	4.5	19.7%	7.5%	12.2%	3.1%	3.43	4.07	—
2015	21	ROK RAW	Elizabethton Twins	10	10	45	183	53	11	4	100%	4.5	29.0%	6.0%	23.0%	2.2%	3.43	2.63	—
2016	22	MIX MLE	2 levels	21	20	122	488	90	33	4	95%	5.8	13.7%	8.0%	5.7%	0.9%	2.80	3.43	—
2016	22	MIX RAW	2 levels	21	20	122	488	90	33	4	95%	5.8	18.4%	6.8%	11.7%	0.8%	2.80	2.86	—
2017	23	MIX MLE	3 levels	22	16	95	380	90	20	7	73%	4.3	16.5%	6.8%	9.7%	2.8%	3.60	4.09	—
2017	23	MIX RAW	3 levels	22	16	95	380	90	20	7	73%	4.3	23.7%	5.3%	18.4%	1.8%	3.60	2.79	—
2018	24	MIX MLE	2 levels	37	2	60	237	74	15	5	5%	1.6	25.3%	6.5%	18.8%	2.2%	2.87	3.01	—
2018	24	MIX RAW	2 levels	37	2	60	237	74	15	5	5%	1.6	31.2%	6.3%	24.9%	2.1%	2.87	2.46	—
2019	25	MIX MLE	3 levels	51	3	78	321	99	10	8	6%	1.5	27.2%	3.3%	23.9%	2.8%	3.22	2.75	+1.7
2019	25	MIX RAW	3 levels	51	3	78	321	99	10	8	6%	1.5	30.8%	3.1%	27.7%	2.5%	3.22	2.28	+2.2
2020	26	MLB MLE	Minnesota Twins	11	0	15	57	17	3	2	0%	1.4	29.8%	5.3%	24.6%	3.5%	3.00	3.16	+0.2
2020	26	MLB RAW	Minnesota Twins	11	0	15	57	17	3	2	0%	1.4	29.8%	5.3%	24.6%	3.5%	3.00	3.17	+0.2
2021	27	MIX MLE	2 levels	17	0	18	84	29	10	2	0%	1.1	34.7%	13.3%	21.3%	2.7%	6.00	3.32	+0.3
2021	27	MIX RAW	2 levels	17	0	18	84	29	10	2	0%	1.1	34.5%	11.9%	22.6%	2.4%	6.00	2.99	+0.3
2022	28	MIX MLE	2 levels	12	0	17	68	17	0	1	0%	1.4	23.1%	0.0%	23.1%	1.5%	3.63	1.99	+0.5
2022	28	MIX RAW	2 levels	12	0	17	68	17	0	1	0%	1.4	25.0%	0.0%	25.0%	1.5%	3.63	1.89	+0.6
2023	29	AAA MLE	Sacramento River Cats	5	0	5	23	4	1	3	0%	1.0	17.4%	4.3%	13.0%	13.0%	12.60	9.34	—
2023	29	AAA MLE	Sacramento River Cats	5	0	5	23	4	1	3	0%	1.0	17.4%	4.3%	13.0%	13.0%	12.60	9.34	—
2023	29	AAA RAW	Sacramento River Cats	5	0	5	23	4	1	3	0%	1.0	17.4%	4.3%	13.0%	13.0%	12.60	9.90	—
2024	30	AAA MLE	Sacramento River Cats	27	0	36	162	44	12	8	0%	1.3	22.5%	6.7%	15.9%	5.4%	5.45	4.99	—
2024	30	AAA MLE	Sacramento River Cats	27	0	36	162	44	12	8	0%	1.3	22.5%	6.7%	15.9%	5.4%	5.45	4.99	—
2024	30	AAA RAW	Sacramento River Cats	27	0	36	162	44	12	8	0%	1.3	27.2%	7.4%	19.8%	4.9%	5.45	4.53	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			55	1	72	301	83	14	8	2%	1.3	27.6%	4.7%	22.9%	2.7%	4.12	2.82	+1.5
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	SF	10	0	11	46	11	3	2	0%	1.1	23.7%	5.6%	18.1%	3.5%	3.96	4.11	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	SF	124	0	130	550	125	34	21	0%	1.1	22.7%	6.3%	16.4%	3.7%	4.23	4.40	+0.2
2028	34	MLB MLE	SF	113	0	119	501	109	34	20	0%	1.0	21.7%	6.9%	14.9%	4.0%	4.51	4.70	-0.2
2027	33	MLB CTX	SF	46	0	48	203	46	13	8	0%	1.0	22.7%	6.3%	16.4%	3.7%	4.23	4.40	+0.1
2028	34	MLB CTX	SF	36	0	38	160	35	11	6	0%	1.1	21.7%	6.9%	14.9%	4.0%	4.51	4.70	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		137	1	158	665	164	38	22	1%	1.2	24.7%	5.7%	19.0%	3.3%	4.25	3.55	+1.9
/ 200 IP	—	RAW		173	1	200	841	207	48	28	1%	1.2	24.7%	5.7%	19.0%	3.3%	4.25	3.55	+2.4
Career	—	MLE		213	51	491	2003	415	131	52	24%	2.3	20.7%	6.5%	14.2%	2.6%	3.54	3.59	+1.5
/ 200 IP	—	MLE		87	21	200	815	169	53	21	24%	2.3	20.7%	6.5%	14.2%	2.6%	3.54	3.59	+0.9

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 Stashak (OGILVIE)	—	—	4.11	23.7%	5.6%	3.5%	—	4.54	22.2%	15.7%	249	+0.43	—	—	—
Joe Blanton R 2015 · 3.45 FIP	34	SW	3.45	22.4%	4.6%	3.0%	.272	3.70	23.5%	17.0%	124	+0.25	3.01	240	86
Nick Martinez R 2023 · 3.62 FIP	32	SU	3.62	23.0%	8.5%	2.5%	.286	3.68	17.2%	12.9%	474	+0.06	2.94	1,134	64
Sam LeCure R 2016 · 4.17 FIP	32	SW	4.17	16.6%	6.5%	3.0%	.311	—	—	—	—	—	4.17	171	63
Miguel Socolovich R 2018 · 3.55 FIP	32	SU	3.55	20.8%	5.6%	2.7%	.338	3.55	18.4%	13.7%	42	+0.00	2.65	283	63
George Kontos R 2017 · 3.71 FIP	32	SU	3.71	25.2%	6.5%	3.5%	.287	4.41	14.7%	8.6%	97	+0.70	3.55	290	60
Deolis Guerra R 2021 · 3.89 FIP	32	SU	3.89	23.0%	7.4%	3.3%	.251	—	—	—	—	—	2.53	364	59
Carlos Villanueva R 2016 · 4.73 FIP	32	SU	4.73	19.0%	3.1%	5.2%	.309	—	—	—	—	—	3.62	135	59
Austin Bibens-Dirkx R 2017 · 5.03 FIP	32	SW	5.03	14.0%	6.6%	4.2%	.268	5.28	17.5%	9.7%	166	+0.25	3.97	567	59
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	58
Pat Neshek R 2015 · 3.82 FIP	34	SU	3.82	22.9%	4.9%	3.7%	.268	2.48	24.6%	21.9%	134	-1.34	1.57	206	58
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	58
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	57
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	57
Fernando Salas R 2017 · 3.50 FIP	32	SU	3.50	21.3%	6.1%	2.6%	.326	4.15	19.4%	14.1%	92	+0.65	2.71	288	56
Ryan Madson R 2015 · 2.99 FIP	34	SU	2.99	23.4%	5.2%	2.2%	.244	2.96	23.9%	18.7%	176	-0.03	1.42	240	56
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.92	176	56
Dillon Gee R 2017 · 3.85 FIP	31	SP-	3.85	18.0%	5.9%	2.8%	.302	—	—	—	—	—	3.67	380	55
Santiago Casilla R 2015 · 3.50 FIP	35	SU	3.50	25.4%	8.6%	2.7%	.290	3.97	22.4%	12.7%	161	+0.47	3.50	219	55
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	55
Tommy Hunter R 2018 · 3.30 FIP	32	SU	3.30	18.9%	5.2%	2.1%	.296	2.78	24.5%	18.6%	25	-0.52	2.78	316	55

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	2.0	130	22.8%	6.2%	1.44	4.22
Kutter Crawford ('24)	2.0	130	23.9%	7.2%	1.45	4.47
Mike Foltynewicz ('21)	4.0	134	21.4%	7.7%	1.46	4.45
Luis Garcia ('23)	1.7	113	25.5%	7.7%	1.19	3.63
Zach Plesac ('23)	2.3	93	18.4%	6.3%	1.39	4.20
Mike Minor ('22)	3.8	126	22.3%	7.2%	1.44	4.38
Yonny Chirinos ('24)	1.7	84	18.9%	6.6%	1.38	4.37