Joey Krehbiel — OGILVIE

Joey Krehbiel P Omaha Storm Chasers

Age 33 RHP 6'3" / 250 lbs AAA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 115107vR 99

ERA4.50

FIP4.52

K%16.8%

BB%7.5%

K-BB%9.3%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4040

CTRL6060

CMD4545

K†4040

Statcast Percentiles

FB Velo

p4894.4

Whiff%

p2822.2%

p2418.4%

xwOBA vs

p460.316

CH+0.7

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	22	A+ MLE	Visalia Rawhide	60	0	68	287	96	28	6	0%	1.1	25.8%	11.2%	14.5%	2.7%	3.71	3.82	—
2015	22	A+ RAW	Visalia Rawhide	60	0	68	287	96	28	6	0%	1.1	33.4%	9.8%	23.7%	2.1%	3.71	2.66	—
2016	23	AA MLE	Mobile BayBears	52	0	56	236	66	23	4	0%	1.1	22.7%	10.7%	11.9%	1.8%	2.59	3.51	—
2016	23	AA RAW	Mobile BayBears	52	0	56	236	66	23	4	0%	1.1	28.0%	9.7%	18.2%	1.7%	2.59	2.90	—
2017	24	MIX MLE	2 levels	46	0	57	241	76	26	3	0%	1.2	25.5%	12.2%	13.3%	1.6%	3.18	3.34	—
2017	24	MIX RAW	2 levels	46	0	57	241	76	26	3	0%	1.2	31.5%	10.8%	20.7%	1.2%	3.18	2.48	—
2018	25	MIX MLE	2 levels	50	0	60	251	71	25	9	0%	1.2	26.1%	10.1%	16.0%	4.0%	4.03	4.35	+0.1
2018	25	MIX RAW	2 levels	50	0	60	251	71	25	9	0%	1.2	28.3%	10.0%	18.3%	3.6%	4.03	3.93	+0.4
2019	26	AAA MLE	Reno Aces	51	0	64	315	67	44	16	0%	1.3	18.7%	14.7%	4.1%	5.2%	7.69	6.22	—
2019	26	AAA RAW	Reno Aces	51	0	64	315	67	44	16	0%	1.3	21.3%	14.0%	7.3%	5.1%	7.69	6.30	—
2021	28	MIX MLE	2 levels	50	0	51	210	59	13	9	0%	1.0	26.0%	4.8%	21.2%	4.7%	4.21	4.10	+0.3
2021	28	MIX RAW	2 levels	50	0	51	210	59	13	9	0%	1.0	28.1%	6.2%	21.9%	4.3%	4.21	3.84	+0.4
2022	29	MLB MLE	Baltimore Orioles	56	0	58	244	45	17	9	0%	1.0	18.4%	7.0%	11.5%	3.7%	3.90	4.47	+0.1
2022	29	MLB RAW	Baltimore Orioles	56	0	58	244	45	17	9	0%	1.0	18.4%	7.0%	11.5%	3.7%	3.90	4.45	+0.1
2023	30	MIX MLE	2 levels	41	0	44	195	37	27	8	0%	1.1	15.1%	12.8%	2.3%	4.4%	3.65	5.86	-0.7
2023	30	MIX MLE	2 levels	41	0	44	195	37	27	8	0%	1.1	15.1%	12.8%	2.3%	4.4%	3.65	5.86	-0.7
2023	30	MIX RAW	2 levels	41	0	44	195	37	27	8	0%	1.1	19.0%	13.8%	5.1%	4.1%	3.65	5.60	-0.5
2024	31	AAA MLE	Tacoma Rainiers	54	0	58	241	55	24	5	0%	1.1	18.9%	9.0%	10.0%	2.0%	3.26	3.73	—
2024	31	AAA MLE	Tacoma Rainiers	54	0	58	241	55	24	5	0%	1.1	18.9%	9.0%	10.0%	2.0%	3.26	3.73	—
2024	31	AAA RAW	Tacoma Rainiers	54	0	58	241	55	24	5	0%	1.1	22.8%	10.0%	12.9%	2.1%	3.26	3.57	—
2025	32	AAA MLE	Omaha Storm Chasers	45	0	57	264	51	18	5	0%	1.3	16.0%	6.1%	9.9%	2.1%	5.34	3.66	—
2025	32	AAA MLE	Omaha Storm Chasers	45	0	57	264	51	18	5	0%	1.3	16.0%	6.1%	9.9%	2.1%	5.34	3.66	—
2025	32	AAA RAW	Omaha Storm Chasers	45	0	57	264	51	18	5	0%	1.3	19.3%	6.8%	12.5%	1.9%	5.34	3.40	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			70	0	74	309	57	26	11	0%	1.1	18.4%	8.4%	10.0%	3.6%	3.65	4.55	+0.0
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	33	MLB	KC	5	0	5	21	4	2	1	0%	1.0	16.8%	7.5%	9.3%	2.8%	4.50	4.52	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	KC	55	0	57	242	40	20	7	0%	1.0	16.6%	8.2%	8.4%	3.1%	4.68	4.81	-0.2
2028	35	MLB MLE	KC	49	0	51	217	35	19	7	0%	1.0	16.1%	8.8%	7.3%	3.4%	4.92	5.11	-0.3
2027	34	MLB CTX	KC	3	0	3	13	2	1	0	0%	1.0	16.6%	8.2%	8.4%	3.1%	4.68	4.81	-0.0
2028	35	MLB CTX	KC	1	0	1	4	1	0	0	0%	1.0	16.1%	8.8%	7.3%	3.4%	4.92	5.11	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		73	0	78	324	60	27	11	0%	1.1	18.4%	8.4%	9.9%	3.5%	3.70	4.56	-0.0
/ 200 IP	—	RAW		189	0	200	836	155	70	28	0%	1.1	18.4%	8.4%	9.9%	3.5%	3.70	4.56	-0.0
Career	—	MLE		505	0	574	2484	530	248	80	0%	1.1	21.4%	10.0%	11.4%	3.2%	4.20	4.32	-0.5
/ 200 IP	—	MLE		176	0	200	866	185	87	28	0%	1.1	21.4%	10.0%	11.4%	3.2%	4.20	4.32	-0.6

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 Krehbiel (OGILVIE)	—	—	4.52	16.8%	7.5%	2.8%	—	4.95	16.4%	7.9%	109	+0.43	—	—	—
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	83
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	83
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	83
Hector Navarro R 2015 · 4.35 FIP	35	SU	4.35	15.0%	5.4%	3.3%	.281	3.00	15.2%	9.0%	81	-1.35	2.30	126	81
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	80
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	4.15	145	79
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	79
Tyler Sturdevant R 2017 · 4.48 FIP	31	SU	4.48	13.5%	6.7%	3.0%	.300	—	—	—	—	—	3.44	149	78
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	78
Blaine Boyer R 2015 · 3.79 FIP	34	SU	3.79	12.3%	5.6%	1.9%	.265	4.07	12.5%	5.9%	144	+0.28	3.24	209	78
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	107	77
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	76
Erubiel Gonzalez R 2015 · 3.43 FIP	36	SU	3.43	12.4%	6.0%	1.1%	.328	3.26	14.8%	10.4%	69	-0.17	2.99	119	75
Ronald Belisario R 2015 · 3.71 FIP	32	SU	3.71	11.8%	6.3%	1.5%	.254	2.10	18.4%	14.0%	48	-1.61	2.10	126	75
Cory Gearrin R 2019 · 3.78 FIP	33	SU	3.78	19.5%	10.0%	1.9%	.303	—	—	—	—	—	3.15	272	75
Fernando Villalobos R 2017 · 4.70 FIP	32	SU	4.70	10.6%	8.0%	2.7%	.313	—	—	—	—	—	4.00	152	75
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	75
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	74
Brian Schlitter R 2019 · 4.40 FIP	33	SU	4.40	14.8%	6.3%	3.2%	.331	4.70	14.9%	5.8%	48	+0.30	3.28	244	74
Matt Albers R 2016 · 5.27 FIP	33	SU	5.27	12.7%	7.6%	4.2%	.318	4.05	23.7%	15.5%	155	-1.22	3.15	244	74

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	0.9	57	16.5%	8.1%	1.18	4.69
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45