Easton McGee

P Omaha Storm Chasers

Age 29 RHP 6'7" / 222 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	16	6	33	6.21	2.32	21.5%	2.7%	—	K 15.5% · BB 2.4% · FIP 3.30
2025	27	MIX2 levels	41	1	62	4.04	2.92	25.1%	8.7%	1.2	K 22.3% · BB 8.0% · FIP 3.05
2026	28	MIX2 levels	45	4	68	6.88	5.09	22.0%	8.3%	-0.4	K 19.3% · BB 7.6% · FIP 5.31
2027PROJ	29	MLBKC	102	0	107	4.56	4.76	19.4%	7.3%	-0.3
2028PROJ81% MLB	30	MLBKC	86	0	90	4.75	4.91	18.9%	7.6%	-0.4
2029PROJ85% MLB	31	MLBKC	74	0	78	4.94	5.09	18.4%	8.0%	-0.5

Last 3 seasons WAR 0.8 · Next 3 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo19

K%16

xwOBA vs10

Career WAR0.0 WAR median (P10 -0.2 / P90 0.2, comp-based) · star 0% · didn't stick 96%

CompsRamon Delgado (age 29) · Ryan Jensen (age 29) · Yoanner Negrin (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124115vR 107

ERA4.56

FIP4.76

K%19.4%

BB%7.3%

K-BB%12.1%

Proj IP145

Value2027 · WAR

Runs saved vs league avg · 145 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL5050

CMD5555

K†4545

Statcast Percentiles

FB Velo

p1992.3

Whiff%

p1018.9%

p1617.3%

xwOBA vs

p100.360

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	18	ROK MLE	GCL Rays	6	4	23	98	14	8	1	67%	3.9	9.7%	10.2%	-0.5%	1.4%	3.09	4.36	—
2016	18	ROK RAW	GCL Rays	6	4	23	98	14	8	1	67%	3.9	14.3%	8.2%	6.1%	1.0%	3.09	3.49	—
2017	19	ROK MLE	Princeton Rays	11	11	52	224	29	7	6	100%	4.8	8.8%	3.9%	4.9%	3.8%	4.30	4.91	—
2017	19	ROK RAW	Princeton Rays	11	11	52	224	29	7	6	100%	4.8	12.9%	3.1%	9.8%	2.7%	4.30	3.88	—
2019	21	A MLE	Bowling Green Hot Rods	24	22	125	519	95	24	13	92%	5.2	13.5%	5.5%	8.1%	2.6%	3.67	4.06	—
2019	21	A RAW	Bowling Green Hot Rods	24	22	125	519	95	24	13	92%	5.2	18.3%	4.6%	13.7%	2.5%	3.67	3.51	—
2021	23	MIX MLE	2 levels	20	19	85	344	76	13	10	95%	4.2	18.0%	4.4%	13.7%	3.9%	3.83	4.27	—
2021	23	MIX RAW	2 levels	20	19	85	344	76	13	10	95%	4.2	22.1%	3.8%	18.3%	2.9%	3.83	3.30	—
2022	24	MIX MLE	2 levels	28	22	111	484	83	20	24	79%	4.0	15.4%	4.5%	10.9%	5.4%	5.29	5.35	+0.1
2022	24	MIX RAW	2 levels	28	22	111	484	83	20	24	79%	4.0	17.1%	4.1%	13.0%	5.0%	5.29	4.96	+0.6
2023	25	MIX MLE	2 levels	6	6	35	140	26	10	1	100%	5.9	17.5%	6.9%	10.6%	0.8%	2.55	2.93	+1.1
2023	25	MIX RAW	2 levels	6	6	35	140	26	10	1	100%	5.9	18.6%	7.1%	11.4%	0.7%	2.55	2.85	+1.1
2024	26	MIX MLE	2 levels	16	6	33	149	32	4	2	38%	2.1	15.5%	2.4%	13.1%	2.2%	6.21	3.30	—
2024	26	MIX MLE	2 levels	16	6	33	149	32	4	2	38%	2.1	15.5%	2.4%	13.1%	2.2%	6.21	3.30	—
2024	26	MIX RAW	2 levels	16	6	33	149	32	4	2	38%	2.1	21.5%	2.7%	18.8%	1.3%	6.21	2.32	—
2025	27	MIX MLE	2 levels	41	1	62	263	66	23	4	2%	1.5	22.3%	8.0%	14.3%	1.5%	4.04	3.05	+1.1
2025	27	MIX MLE	2 levels	41	1	62	263	66	23	4	2%	1.5	22.3%	8.0%	14.3%	1.5%	4.04	3.05	+1.1
2025	27	MIX RAW	2 levels	41	1	62	263	66	23	4	2%	1.5	25.1%	8.7%	16.3%	1.5%	4.04	2.92	+1.2
2026	28	MIX MLE	2 levels	45	4	68	314	69	26	15	9%	1.5	19.3%	7.6%	11.7%	5.2%	6.88	5.31	-0.6
2026	28	MIX MLE	2 levels	45	4	68	314	69	26	15	9%	1.5	19.3%	7.6%	11.7%	5.2%	6.88	5.31	-0.6
2026	28	MIX RAW	2 levels	45	4	68	314	69	26	15	9%	1.5	22.0%	8.3%	13.7%	4.8%	6.88	5.09	-0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			20	1	36	150	25	10	4	5%	1.8	16.7%	6.7%	10.0%	2.7%	4.54	4.00	+0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	KC	102	0	107	452	88	33	16	0%	1.0	19.4%	7.3%	12.1%	3.6%	4.56	4.76	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	KC	106	0	111	470	89	36	18	0%	1.0	18.9%	7.6%	11.3%	3.8%	4.75	4.91	-0.5
2029	31	MLB MLE	KC	88	0	92	388	72	31	15	0%	1.0	18.4%	8.0%	10.4%	3.9%	4.94	5.09	-0.6
2028	30	MLB CTX	KC	86	0	90	380	72	29	14	0%	1.0	18.9%	7.6%	11.3%	3.8%	4.75	4.91	-0.4
2029	31	MLB CTX	KC	74	0	78	329	61	26	13	0%	1.1	18.4%	8.0%	10.4%	3.9%	4.94	5.09	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		180	1	204	860	158	65	31	1%	1.1	18.4%	7.6%	10.7%	3.6%	4.79	4.51	+0.1
/ 200 IP	—	RAW		177	1	200	844	155	64	30	1%	1.1	18.4%	7.6%	10.7%	3.6%	4.79	4.51	+0.1
Career	—	MLE		197	95	595	2535	403	142	88	48%	3.0	15.9%	5.6%	10.3%	3.5%	4.51	4.36	-0.8
/ 200 IP	—	MLE		66	32	200	852	135	48	29	48%	3.0	15.9%	5.6%	10.3%	3.5%	4.51	4.36	-0.7

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.

2026 AAAOmaha Storm Chasers · 57 IPFIP 4.70 → 5.12 (+0.42)K% 22.9% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.90%	—	×0.860	19.69%
BB% (unintentional) /BF	8.02%	—	×0.900	7.21%
HR / BF /BF	4.58%	÷1.000	×1.100	5.04%

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 100).

Result: FIP 4.70 → 5.12, 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).

2025 AAANashville Sounds · 48 IPFIP 2.89 → 3.07 (+0.18)K% 26.4% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.37%	—	×0.860	22.68%
BB% (unintentional) /BF	9.45%	—	×0.900	8.51%
HR / BF /BF	1.49%	÷1.111	×1.100	1.48%

Result: FIP 2.89 → 3.07, 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).

2024 AAANashville Sounds · 24 IPFIP 2.91 → 3.30 (+0.39)K% 18.0% → 15.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.02%	—	×0.860	15.50%
BB% (unintentional) /BF	2.70%	—	×0.900	2.43%
HR / BF /BF	1.80%	÷0.909	×1.100	2.18%

Result: FIP 2.91 → 3.30, 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).

2024 ROKACL Brewers · 9 IPFIP 0.77 → 1.70 (+0.94)K% 31.6% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.58%	—	×0.680	21.47%
BB% (unintentional) /BF	2.63%	—	×1.250	3.29%
HR / BF /BF	0.00%	÷0.947	×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 89).

Result: FIP 0.77 → 1.70, 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).

2023 AAATacoma Rainiers · 29 IPFIP 2.81 → 2.93 (+0.12)K% 20.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.34%	—	×0.860	17.49%
BB% (unintentional) /BF	7.63%	—	×0.900	6.86%
HR / BF /BF	0.85%	÷1.157	×1.100	0.81%

Result: FIP 2.81 → 2.93, 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).

2022 AAADurham Bulls · 108 IPFIP 4.97 → 5.35 (+0.38)K% 17.4% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.45%	—	×0.880	15.35%
BB% (unintentional) /BF	4.26%	—	×1.050	4.47%
HR / BF /BF	5.11%	÷1.034	×1.100	5.43%

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 107).

Result: FIP 4.97 → 5.35, 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 AAMontgomery Biscuits · 80 IPFIP 3.40 → 4.27 (+0.88)K% 22.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.26%	—	×0.810	18.03%
BB% (unintentional) /BF	3.96%	—	×1.100	4.36%
HR / BF /BF	3.05%	÷0.938	×1.200	3.90%

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 88).

Result: FIP 3.40 → 4.27, 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 ABowling Green Hot Rods · 125 IPFIP 3.51 → 4.06 (+0.54)K% 18.3% → 13.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.30%	—	×0.740	13.55%
BB% (unintentional) /BF	4.62%	—	×1.180	5.46%
HR / BF /BF	2.50%	÷1.270	×1.300	2.56%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 154).

Result: FIP 3.51 → 4.06, 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
Easton McGee (OGILVIE)	—	—	4.76	19.4%	7.3%	3.6%	—	4.99	18.7%	10.9%	203	+0.23	—	—	—
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	73
Ryan Jensen R 2005 · 4.35 FIP	29	SW	4.35	15.7%	5.2%	3.5%	.310	—	—	—	—	—	4.35	253	69
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	67
A.J. Morris R 2016 · 4.60 FIP	29	SW	4.60	16.9%	6.9%	3.7%	.345	—	—	—	—	—	3.02	123	66
Steve Johnson R 2017 · 4.53 FIP	29	SW	4.53	20.3%	8.9%	3.7%	.321	—	—	—	—	—	2.22	206	65
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	65
Josh Lindblom R 2017 · 3.91 FIP	30	SW	3.91	18.7%	5.5%	3.1%	.333	3.50	27.2%	18.8%	45	-0.41	1.83	480	64
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.40	236	64
Ryan Glynn R 2004 · 5.23 FIP	29	SW	5.23	15.7%	7.9%	4.5%	.234	5.98	18.3%	9.8%	17	+0.75	5.23	226	64
Vinny Nittoli R 2019 · 4.18 FIP	28	SU	4.18	19.0%	6.9%	3.3%	.302	3.86	26.9%	20.4%	93	-0.32	3.66	331	64
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	64
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	63
Mike Wright Jr. R 2019 · 3.76 FIP	29	SW	3.76	19.9%	7.2%	2.6%	.347	4.19	17.6%	7.3%	169	+0.43	3.76	725	63
Daulton Jefferies R 2024 · 5.05 FIP	28	SP-	5.05	15.0%	7.1%	4.2%	.316	—	—	—	—	—	3.23	265	63
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	63
Fredy Quintero R 2017 · 4.45 FIP	29	SW	4.45	14.0%	8.7%	2.6%	.335	4.62	17.2%	3.5%	43	+0.17	4.29	241	63
Murphy Smith R 2017 · 4.32 FIP	29	SW	4.32	13.6%	4.9%	3.2%	.267	4.57	13.6%	4.3%	63	+0.25	3.16	300	62
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	62
Mayckol Guaipe R 2019 · 4.18 FIP	28	SW	4.18	26.0%	7.6%	4.2%	.432	—	—	—	—	—	1.88	136	62
Lindsey Caughel R 2018 · 5.12 FIP	27	SW	5.12	13.3%	8.3%	3.8%	.301	—	—	—	—	—	4.49	187	62

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 927 starter careers (497 from 1990-2025 + 430 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	1.9	128	18.8%	7.6%	1.41	4.70
Allen Ripley ('78-'82, 1 WAR*)	2.3	93	17.2%*	7.5%*	1.41*	5.06*
Brent Strom ('72-'77, 0 WAR*)	2.5	125	19.3%*	8.2%*	1.53*	4.78*
Rubby De La Rosa ('17)	2.1	105	19.6%	8.6%	1.32	4.49
Rich Nye ('66-'70, 3 WAR*)	2.4	119	16.7%*	7.5%*	1.52*	4.40*
Marco Estrada ('19)	6.3	139	21.0%	7.6%	1.43	4.29
Yonny Chirinos ('24)	1.8	89	19.0%	6.6%	1.36	4.22