Daulton Jefferies

P Indianapolis Indians

Age 31 RHP 6'0" / 182 lbs AAA peak 0.6 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	25	MIX2 levels	20	16	92	4.70	3.92	19.5%	3.8%	1.6	K 17.4% · BB 4.0% · FIP 4.43
2022	26	MLBOakland Athle…	8	8	39	5.72	3.61	16.3%	4.7%	0.9
2024	28	MIX2 levels	16	8	55	6.26	4.78	16.7%	7.7%	0.4	K 15.0% · BB 7.1% · FIP 5.05
2025	29	No MLB games played
2026	30	No MLB games played
2027PROJ	31	MLBPIT	1	1	6	4.42	4.66	19.9%	8.7%	0.1
2028PROJ37% MLB	32	MLBPIT	3	3	20	4.68	4.88	19.5%	9.2%	0.1
2029PROJ55% MLB	33	MLBPIT	4	4	25	4.92	5.12	18.9%	9.6%	0.1

Last 3 seasons WAR 2.9 · Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

xwOBA vs40

FB Velo33

K%10

CompsElian Leyva (age 30) · Zack Segovia (age 32) · Mitch Lively (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 105

ERA4.42

FIP4.66

K%19.9%

BB%8.7%

K-BB%11.2%

Proj IP63

Value2027 · WAR

Runs saved vs league avg · 63 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL6060

CMD4545

K†4545

Statcast Percentiles

FB Velo

p3393.3

Whiff%

p1320.1%

p1016.4%

xwOBA vs

p400.323

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 the standard WAR scale.

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)
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	+1.0
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	+1.6
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	+0.8
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	+0.9
2024	28	MIX MLE	2 levels	16	8	55	246	41	19	9	50%	3.4	15.0%	7.1%	7.9%	4.2%	6.26	5.05	+0.2
2024	28	MIX MLE	2 levels	16	8	55	246	41	19	9	50%	3.4	15.0%	7.1%	7.9%	4.2%	6.26	5.05	+0.2
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	+0.4
▸ 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	+0.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	PIT	1	1	6	25	5	2	1	100%	6.0	19.9%	8.7%	11.2%	3.2%	4.42	4.66	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	PIT	9	9	55	232	45	21	8	100%	6.1	19.5%	9.2%	10.3%	3.4%	4.68	4.88	+0.3
2029	33	MLB MLE	PIT	8	8	46	194	37	19	7	100%	5.8	18.9%	9.6%	9.3%	3.7%	4.92	5.12	+0.1
2028	32	MLB CTX	PIT	3	3	20	84	16	8	3	100%	6.7	19.5%	9.2%	10.3%	3.4%	4.68	4.88	+0.1
2029	33	MLB CTX	PIT	4	4	25	106	20	10	4	100%	6.2	18.9%	9.6%	9.3%	3.7%	4.92	5.12	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		28	19	117	508	86	36	18	68%	4.2	16.9%	7.1%	9.8%	3.5%	5.90	4.50	+1.2
/ 200 IP	—	RAW		47	32	200	872	148	62	31	67%	4.2	16.9%	7.1%	9.8%	3.5%	5.90	4.50	+2.1
Career	—	MLE		79	55	287	1222	236	56	43	70%	3.6	19.3%	4.6%	14.7%	3.5%	4.73	3.98	+1.2
/ 200 IP	—	MLE		55	38	200	851	164	39	30	70%	3.6	19.3%	4.6%	14.7%	3.5%	4.73	3.98	+1.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2024 AAAIndianapolis Indians · 40 IPFIP 4.37 → 4.79 (+0.42)K% 16.8% → 14.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.76%	—	×0.860	14.42%
BB% (unintentional) /BF	8.67%	—	×0.900	7.80%
HR / BF /BF	2.89%	÷0.909	×1.100	3.50%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 82).

Result: FIP 4.37 → 4.79, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAALas Vegas Aviators · 77 IPFIP 3.94 → 4.53 (+0.59)K% 20.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.48%	—	×0.880	18.02%
BB% (unintentional) /BF	3.31%	—	×1.050	3.48%
HR / BF /BF	3.92%	÷0.941	×1.100	4.58%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 88).

Result: FIP 3.94 → 4.53, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 AAMidland RockHounds · 64 IPFIP 2.58 → 3.44 (+0.85)K% 27.5% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.48%	—	×0.810	22.26%
BB% (unintentional) /BF	2.67%	—	×1.100	2.94%
HR / BF /BF	2.67%	÷0.954	×1.200	3.36%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 91).

Result: FIP 2.58 → 3.44, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 A+Stockton Ports · 15 IPFIP 1.40 → 2.30 (+0.90)K% 36.8% → 28.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.84%	—	×0.770	28.37%
BB% (unintentional) /BF	3.51%	—	×1.150	4.04%
HR / BF /BF	1.75%	÷1.114	×1.250	1.97%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 123).

Result: FIP 1.40 → 2.30, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2017 A+Stockton Ports · 7 IPFIP 1.87 → 2.31 (+0.44)K% 19.4% → 14.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.35%	—	×0.770	14.90%
BB% (unintentional) /BF	3.23%	—	×1.150	3.71%
HR / BF /BF	0.00%	÷1.397	×1.250	0.00%

Result: FIP 1.87 → 2.31, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 ROKAZL Athletics · 11 IPFIP 0.41 → 1.60 (+1.19)K% 38.6% → 26.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.64%	—	×0.680	26.27%
BB% (unintentional) /BF	4.55%	—	×1.250	5.68%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 0.41 → 1.60, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	4.66	19.9%	8.7%	3.2%	—	4.99	19.2%	9.8%	101	+0.33	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	73
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	67
Mitch Lively R 2017 · 3.47 FIP	31	SP-	3.47	17.0%	6.4%	1.8%	.304	—	—	—	—	—	2.39	158	66
Casey Lawrence R 2018 · 3.77 FIP	30	SP-	3.77	18.1%	4.4%	3.0%	.305	4.08	20.0%	14.8%	86	+0.31	3.57	1,374	64
Hisashi Iwakuma R 2012 · 4.28 FIP	31	SP-	4.28	19.5%	7.7%	3.4%	.277	3.45	21.5%	17.8%	528	-0.83	3.19	884	64
Josh A. Smith R 2019 · 4.65 FIP	31	SW	4.65	20.8%	6.4%	4.5%	.341	3.67	17.4%	8.6%	59	-0.98	2.91	598	64
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	64
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	63
Scott Copeland R 2019 · 5.62 FIP	31	SP-	5.62	17.1%	12.4%	4.4%	.311	—	—	—	—	—	3.55	569	62
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	3.84	193	62
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	62
Manny Barreda R 2019 · 5.21 FIP	30	SP	5.21	18.1%	9.5%	4.4%	.317	3.34	20.1%	12.9%	40	-1.87	3.30	376	62
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	61
Randy Wynne R 2024 · 5.75 FIP	31	SP-	5.75	13.6%	6.0%	5.5%	.283	6.55	10.7%	7.2%	60	+0.80	4.35	461	61
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	61
Mike Wright Jr. R 2021 · 3.89 FIP	31	SP-	3.89	19.1%	8.8%	2.4%	.237	4.79	14.4%	1.1%	56	+0.90	3.76	725	61
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	61
Danny Gutierrez R 2017 · 4.11 FIP	30	SP	4.11	15.1%	6.1%	2.8%	.362	—	—	—	—	—	3.34	239	61
Luke Hudson R 2006 · 3.81 FIP	29	SP-	3.81	14.5%	8.4%	1.6%	.307	—	—	—	—	—	3.81	235	61
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	60

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.2	59	18.2%	8.1%	1.33	5.24
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
JC Ramírez ('19)	1.4	72	16.4%	8.4%	1.44	4.71
Brandon Maurer ('18)	1.9	62	19.9%	7.8%	1.14	5.36
Rich Hinton ('71-'79, -2 WAR*)	1.2	50	21.3%*	8.0%*	1.15*	5.41*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*