Daulton Jefferies

Daulton Jefferies P Indianapolis Indians

Age 30 RHP 6'0" / 182 lbs AAA peak 0.3 · 2026

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

showingROS

wRC+ AGAINSTvL 128119vR 111

ERA4.69

FIP4.97

K%15.3%

BB%7.5%

K-BB%7.8%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL6060

CMD4545

K†3030

Statcast Percentiles

FB Velo

p3393.3

Whiff%

p1320.1%

p1016.4%

xwOBA vs

p400.323

SI (37%)

FB (46%)

SL-1.8 (25%)

CH-2.7 (15%)

CT-4.2 (15%)

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)
2016	20	ROK MLE	AZL Athletics	5	5	11	44	17	2	0	100%	2.3	38.6%	4.5%	34.1%	0.0%	2.38	0.41	—
2016	20	ROK RAW	AZL Athletics	5	5	11	44	17	2	0	100%	2.3	38.6%	4.5%	34.1%	0.0%	2.38	0.63	—
2017	21	A+ MLE	Stockton Ports	2	1	7	31	6	1	0	50%	3.5	19.4%	3.2%	16.1%	0.0%	2.57	1.87	—
2017	21	A+ RAW	Stockton Ports	2	1	7	31	6	1	0	50%	3.5	19.4%	3.2%	16.1%	0.0%	2.57	1.81	—
2018	22	ROK MLE	AZL Athletics	1	1	2	7	5	0	0	100%	2.0	71.4%	0.0%	71.4%	0.0%	0.00	-2.93	—
2018	22	ROK RAW	AZL Athletics	1	1	2	7	5	0	0	100%	2.0	71.4%	0.0%	71.4%	0.0%	0.00	-1.90	—
2019	23	MIX MLE	2 levels	26	15	79	319	93	9	8	58%	3.0	23.4%	3.1%	20.2%	3.1%	3.42	3.23	—
2019	23	MIX RAW	2 levels	26	15	79	319	93	9	8	58%	3.0	29.2%	2.8%	26.3%	2.5%	3.42	2.40	—
2020	24	MLB MLE	Oakland Athletics	1	1	2	13	1	2	2	100%	2.0	7.7%	15.4%	-7.7%	15.4%	22.50	12.84	-0.2
2020	24	MLB RAW	Oakland Athletics	1	1	2	13	1	2	2	100%	2.0	7.7%	15.4%	-7.7%	15.4%	22.50	18.10	-0.3
2021	25	MIX MLE	2 levels	20	16	92	390	76	15	14	80%	4.6	17.4%	4.0%	13.4%	4.2%	4.70	4.43	+0.5
2021	25	MIX RAW	2 levels	20	16	92	390	76	15	14	80%	4.6	19.5%	3.8%	15.6%	3.6%	4.70	3.92	+1.1
2022	26	MLB MLE	Oakland Athletics	8	8	39	172	28	8	4	100%	4.9	16.3%	4.7%	11.6%	2.6%	5.72	3.72	+0.6
2022	26	MLB RAW	Oakland Athletics	8	8	39	172	28	8	4	100%	4.9	16.3%	4.7%	11.6%	2.3%	5.72	3.61	+0.6
2024	28	MIX MLE	2 levels	16	8	55	246	41	19	9	50%	3.4	14.7%	7.1%	7.5%	4.2%	6.26	5.08	-0.1
2024	28	MIX MLE	2 levels	16	8	55	246	41	19	9	50%	3.4	14.7%	7.1%	7.5%	4.2%	6.26	5.08	-0.1
2024	28	MIX RAW	2 levels	16	8	55	246	41	19	9	50%	3.4	16.7%	7.7%	8.9%	3.7%	6.26	4.78	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			20	11	71	316	49	18	11	55%	3.5	15.5%	5.7%	9.8%	3.5%	6.59	4.49	+0.3
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	PIT	1	1	5	21	3	2	1	100%	5.0	15.3%	7.5%	7.8%	3.3%	4.69	4.97	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	PIT	10	10	61	258	40	21	9	100%	6.1	15.4%	8.1%	7.3%	3.5%	4.93	5.14	-0.2
2028	32	MLB MLE	PIT	9	9	56	238	36	20	9	100%	6.3	15.2%	8.6%	6.6%	3.7%	5.15	5.33	-0.3
2027	31	MLB CTX	PIT	4	4	22	93	14	7	3	100%	5.5	15.4%	8.1%	7.3%	3.5%	4.93	5.14	-0.1
2028	32	MLB CTX	PIT	5	5	31	131	20	11	5	100%	6.2	15.2%	8.6%	6.6%	3.7%	5.15	5.33	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		29	20	125	542	84	37	19	69%	4.3	15.4%	6.8%	8.6%	3.6%	5.93	4.61	+0.4
/ 200 IP	—	RAW		46	32	200	871	135	59	31	69%	4.3	15.4%	6.8%	8.6%	3.6%	5.93	4.61	+0.7
Career	—	MLE		79	55	287	1222	235	56	43	70%	3.6	19.3%	4.6%	14.7%	3.5%	4.73	3.99	-0.1
/ 200 IP	—	MLE		55	38	200	851	164	39	30	70%	3.6	19.3%	4.6%	14.7%	3.5%	4.73	3.99	-0.1

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
Daulton Jefferies (OGILVIE)	—	—	4.97	15.3%	7.5%	3.3%	—	5.23	15.3%	7.0%	117	+0.26	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	74
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	71
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	71
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	70
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	70
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	69
Jerome Williams R 2015 · 4.72 FIP	33	SP-	4.72	13.4%	5.6%	3.7%	.326	5.81	11.7%	5.6%	74	+1.09	4.72	195	69
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	69
Jair Jurrjens R 2015 · 4.59 FIP	29	SP-	4.59	10.3%	6.9%	2.7%	.365	4.27	16.3%	8.4%	54	-0.32	4.27	125	68
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	493	68
Jason Berken R 2015 · 4.34 FIP	31	SW	4.34	13.5%	6.6%	2.8%	.315	4.54	11.5%	3.2%	106	+0.20	4.34	219	68
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	67
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	67
Justin Masterson R 2015 · 4.10 FIP	30	SP-	4.10	18.2%	10.5%	2.2%	.307	3.73	17.3%	6.4%	196	-0.37	3.50	269	67
Tyler Cloyd R 2017 · 4.51 FIP	30	SP-	4.51	16.0%	6.8%	3.5%	.293	4.99	17.2%	9.8%	170	+0.48	3.89	250	67
Austin Bibens-Dirkx R 2015 · 3.97 FIP	30	SP	3.97	17.4%	7.1%	2.6%	.315	4.94	15.9%	8.7%	305	+0.97	3.97	567	66
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	66
Daniel McCutchen R 2015 · 4.30 FIP	32	SP-	4.30	13.9%	4.4%	3.3%	.268	4.74	10.8%	4.9%	155	+0.44	4.30	287	66
Dylan Axelrod R 2015 · 4.75 FIP	30	SP-	4.75	14.1%	6.6%	3.6%	.304	4.28	13.7%	7.4%	133	-0.47	4.28	251	65
Scott Carroll R 2015 · 3.92 FIP	30	SW	3.92	12.7%	7.7%	1.7%	.286	5.07	11.2%	2.6%	128	+1.15	3.92	248	64

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	61	15.3%	8.0%	1.36	4.91
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
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
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