Mitch Myers

P Midland RockHounds

Age 28 RHP 6'2" / 212 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX2 levels	28	18	114	4.57	3.38	20.5%	5.3%	—	K 16.1% · BB 5.8% · FIP 4.29
2025	26	AAOAK	17	2	23	1.99	2.97	22.9%	3.6%	—	K 18.5% · BB 4.0% · FIP 3.56
2026	27	MIX2 levels	27	11	69	6.88	5.41	21.4%	9.3%	—	K 16.9% · BB 10.4% · FIP 6.32
2027PROJ	28	MLBOAK	1	1	1	5.16	5.16	18.0%	9.0%	0.0
2028PROJ31% MLB	29	MLBOAK	2	2	12	5.16	5.21	18.3%	9.3%	0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsClay Condrey (age 27) · Fabio Castillo (age 28) · Eddie Bonine (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA5.16

FIP5.16

K%18.0%

BB%9.0%

K-BB%9.0%

Proj IP41

Value2027 · WAR

Runs saved vs league avg · 41 IP

Grades · Contract

Scouting Grades

K†4045

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)
2022	23	A MLE	Stockton Ports	23	22	124	550	98	38	26	96%	5.4	13.2%	8.2%	5.0%	6.1%	5.50	6.38	—
2022	23	A RAW	Stockton Ports	23	22	124	550	98	38	26	96%	5.4	17.8%	6.9%	10.9%	4.7%	5.50	5.16	—
2023	24	A+ MLE	Lansing Lugnuts	23	21	104	478	73	35	8	91%	4.5	11.8%	8.4%	3.3%	1.7%	5.35	4.12	—
2023	24	A+ RAW	Lansing Lugnuts	23	21	104	478	73	35	8	91%	4.5	15.3%	7.3%	7.9%	1.7%	5.35	3.70	—
2024	25	MIX MLE	2 levels	28	18	114	493	101	26	12	64%	4.1	16.1%	5.8%	10.3%	3.3%	4.57	4.29	—
2024	25	MIX MLE	2 levels	28	18	114	493	101	26	12	64%	4.1	16.1%	5.8%	10.3%	3.3%	4.57	4.29	—
2024	25	MIX RAW	2 levels	28	18	114	493	101	26	12	64%	4.1	20.5%	5.3%	15.2%	2.4%	4.57	3.38	—
2025	26	AA MLE	Midland RockHounds	17	2	23	83	19	3	2	12%	1.3	18.5%	4.0%	14.6%	2.8%	1.99	3.56	—
2025	26	AA MLE	Midland RockHounds	17	2	23	83	19	3	2	12%	1.3	18.5%	4.0%	14.6%	2.8%	1.99	3.56	—
2025	26	AA RAW	Midland RockHounds	17	2	23	83	19	3	2	12%	1.3	22.9%	3.6%	19.3%	2.4%	1.99	2.97	—
2026	27	MIX MLE	2 levels	27	11	69	323	69	30	16	41%	2.6	16.9%	10.4%	6.5%	6.1%	6.88	6.32	—
2026	27	MIX MLE	2 levels	27	11	69	323	69	30	16	41%	2.6	16.9%	10.4%	6.5%	6.1%	6.88	6.32	—
2026	27	MIX RAW	2 levels	27	11	69	323	69	30	16	41%	2.6	21.4%	9.3%	12.1%	5.0%	6.88	5.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	OAK	1	1	1	4	1	0	0	100%	1.0	18.0%	9.0%	9.0%	3.8%	5.16	5.16	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	OAK	6	6	39	164	30	15	6	100%	6.5	18.3%	9.3%	9.0%	3.8%	5.16	5.21	+0.1
2028	29	MLB CTX	OAK	2	2	12	51	9	5	2	100%	6.0	18.3%	9.3%	9.0%	3.8%	5.16	5.21	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	12	51	9	5	2	100%	6.1	18.3%	9.3%	9.0%	3.8%	5.16	4.83	+0.1
/ 200 IP	—	RAW		33	33	200	844	148	82	33	100%	6.0	18.3%	9.3%	9.0%	3.8%	5.16	4.83	+1.3
Career	—	MLE		118	74	435	1927	278	151	80	63%	3.7	14.4%	7.8%	6.6%	4.2%	5.26	5.16	+0.1
/ 200 IP	—	MLE		54	34	200	886	128	69	37	63%	3.7	14.4%	7.8%	6.6%	4.2%	5.26	5.16	+0.4

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.

2026 AAMidland RockHounds · 35 IPFIP 5.34 → 6.41 (+1.07)K% 22.3% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.29%	—	×0.810	18.05%
BB% (unintentional) /BF	9.04%	—	×1.100	9.94%
HR / BF /BF	5.42%	÷1.000	×1.200	6.51%

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 100).

Result: FIP 5.34 → 6.41, 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).

2026 A+Lansing Lugnuts · 34 IPFIP 5.04 → 6.23 (+1.19)K% 20.4% → 15.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.38%	—	×0.770	15.69%
BB% (unintentional) /BF	9.55%	—	×1.150	10.99%
HR / BF /BF	4.46%	÷1.000	×1.250	5.57%

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 100).

Result: FIP 5.04 → 6.23, 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 AAMidland RockHounds · 23 IPFIP 2.95 → 3.56 (+0.61)K% 22.9% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.89%	—	×0.810	18.54%
BB% (unintentional) /BF	3.61%	—	×1.100	3.98%
HR / BF /BF	2.41%	÷1.043	×1.200	2.77%

Result: FIP 2.95 → 3.56, 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 A+Lansing Lugnuts · 111 IPFIP 3.23 → 4.29 (+1.06)K% 20.9% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.92%	—	×0.770	16.11%
BB% (unintentional) /BF	5.02%	—	×1.150	5.77%
HR / BF /BF	2.30%	÷0.867	×1.250	3.32%

Result: FIP 3.23 → 4.29, 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 A+Lansing Lugnuts · 104 IPFIP 3.66 → 4.12 (+0.47)K% 15.3% → 11.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.27%	—	×0.770	11.76%
BB% (unintentional) /BF	7.32%	—	×1.150	8.42%
HR / BF /BF	1.67%	÷1.209	×1.250	1.73%

Result: FIP 3.66 → 4.12, 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).

2022 AStockton Ports · 124 IPFIP 5.07 → 6.38 (+1.32)K% 17.8% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.82%	—	×0.740	13.19%
BB% (unintentional) /BF	6.91%	—	×1.180	8.15%
HR / BF /BF	4.73%	÷1.003	×1.300	6.13%

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 101).

Result: FIP 5.07 → 6.38, 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
Mitch Myers (OGILVIE)	—	—	5.16	18.0%	9.0%	3.8%	—	5.21	18.3%	9.0%	39	+0.05	—	—	—
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	82
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	78
Eddie Bonine R 2009 · 5.60 FIP	28	SW	5.60	13.1%	7.6%	4.8%	.306	4.54	8.6%	2.0%	68	-1.06	4.40	129	78
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	77
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	76
Aldo Montes R 2017 · 4.96 FIP	27	SP-	4.96	12.4%	8.5%	3.3%	.322	4.69	18.2%	7.6%	75	-0.27	4.69	210	75
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	74
Dustin Nippert R 2009 · 4.09 FIP	28	SP-	4.09	18.0%	9.7%	2.3%	.271	4.49	17.9%	6.1%	57	+0.40	3.83	268	74
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	73
Bradin Hagens R 2018 · 4.92 FIP	29	SP-	4.92	14.9%	9.9%	3.3%	.341	5.46	13.2%	0.6%	66	+0.54	3.79	254	72
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	71
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
Alfonso Sanchez R 2016 · 5.26 FIP	28	SW	5.26	15.9%	7.4%	4.7%	.244	5.55	11.2%	2.3%	115	+0.29	4.51	224	71
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	71
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	70
Grant Judkins R 2024 · 5.13 FIP	26	SW	5.13	16.8%	9.1%	4.2%	.264	5.80	14.9%	5.8%	124	+0.67	5.13	322	70
Omar Bencomo R 2017 · 4.50 FIP	28	SP-	4.50	18.9%	6.3%	4.0%	.333	4.48	14.9%	10.1%	186	-0.02	3.70	381	70
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	70
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	70
Lisalverto Bonilla R 2017 · 4.61 FIP	27	SW	4.61	18.2%	10.5%	3.1%	.304	4.70	15.8%	3.2%	11	+0.09	3.22	242	70

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	0.4	40	18.1%	9.1%	1.47	5.16
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Tom Dukes ('67-'72, -2 WAR*)	1.1	43	22.7%*	8.7%*	1.16*	5.37*