Konnor Ash

P Reading Fightin Phils

Age 28 RHP 5'11" / 191 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	23	APHI	31	0	40	5.36	3.32	30.0%	14.4%	—	K 22.2% · BB 17.0% · FIP 4.57
2023	24	MIX4 levels	23	1	29	4.03	1.72	36.4%	14.0%	—	K 29.7% · BB 12.0% · FIP 2.11
2024	25	AAPHI	35	10	64	3.53	3.49	24.4%	12.9%	—	K 19.7% · BB 14.2% · FIP 4.09
2025	26	No MLB games played
2026	27	No MLB games played
2027PROJ	28	MLBPHI	1	0	1	4.72	4.72	21.8%	11.6%	-0.0
2028PROJ31% MLB	29	MLBPHI	10	0	11	4.76	4.81	21.7%	11.6%	-0.0

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

Contract

No contract data on file.

CompsSpencer Bivens (age 28) · Jim Miller (age 30) · Dustin Molleken (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.72

FIP4.72

K%21.8%

BB%11.6%

K-BB%10.1%

Proj IP44

Value2027 · WAR

Runs saved vs league avg · 44 IP

Grades · Contract

Scouting Grades

K†5050

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)
2021	22	MIX MLE	2 levels	9	1	14	59	14	8	2	11%	1.6	23.7%	13.6%	10.2%	3.4%	3.77	4.67	—
2021	22	MIX RAW	2 levels	9	1	14	59	14	8	2	11%	1.6	23.7%	13.6%	10.2%	3.4%	3.77	4.63	—
2022	23	A MLE	Clearwater Threshers	31	0	40	180	54	26	3	0%	1.3	22.2%	17.0%	5.2%	2.2%	5.36	4.57	—
2022	23	A RAW	Clearwater Threshers	31	0	40	180	54	26	3	0%	1.3	30.0%	14.4%	15.6%	1.7%	5.36	3.32	—
2023	24	MIX MLE	4 levels	23	1	29	129	47	18	0	4%	1.3	29.7%	12.0%	17.7%	0.0%	4.03	2.11	—
2023	24	MIX RAW	4 levels	23	1	29	129	47	18	0	4%	1.3	36.4%	14.0%	22.5%	0.0%	4.03	1.72	—
2024	25	AA MLE	Reading Fightin Phils	35	10	64	271	66	35	4	29%	1.8	19.7%	14.2%	5.5%	1.6%	3.53	4.09	—
2024	25	AA MLE	Reading Fightin Phils	35	10	64	271	66	35	4	29%	1.8	19.7%	14.2%	5.5%	1.6%	3.53	4.09	—
2024	25	AA RAW	Reading Fightin Phils	35	10	64	271	66	35	4	29%	1.8	24.4%	12.9%	11.4%	1.5%	3.53	3.49	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	PHI	1	0	1	4	1	0	0	0%	1.0	21.8%	11.6%	10.1%	2.9%	4.72	4.72	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	PHI	33	0	34	145	31	17	4	0%	1.0	21.7%	11.6%	10.1%	3.1%	4.76	4.81	-0.1
2028	29	MLB CTX	PHI	10	0	11	46	10	5	1	0%	1.1	21.7%	11.6%	10.1%	3.1%	4.76	4.81	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	45	10	5	1	0%	1.1	21.7%	11.6%	10.1%	3.1%	4.76	4.43	+0.0
/ 200 IP	—	RAW		190	0	200	844	186	93	19	0%	1.1	21.7%	11.6%	10.1%	3.1%	4.76	4.43	+0.3
Career	—	MLE		98	12	147	639	146	93	10	12%	1.5	22.8%	14.5%	8.3%	1.6%	4.15	3.88	-0.1
/ 200 IP	—	MLE		133	16	200	867	198	126	14	12%	1.5	22.8%	14.5%	8.3%	1.6%	4.15	3.88	-0.6

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 AAReading Fightin Phils · 64 IPFIP 3.49 → 4.09 (+0.60)K% 24.4% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.35%	—	×0.810	19.73%
BB% (unintentional) /BF	12.92%	—	×1.100	14.21%
HR / BF /BF	1.48%	÷1.137	×1.200	1.56%

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 127).

Result: FIP 3.49 → 4.09, 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+Jersey Shore BlueClaws · 23 IPFIP 1.16 → 2.11 (+0.95)K% 38.5% → 29.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.54%	—	×0.770	29.68%
BB% (unintentional) /BF	10.42%	—	×1.150	11.98%
HR / BF /BF	0.00%	÷0.858	×1.250	0.00%

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 72).

Result: FIP 1.16 → 2.11, 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 AClearwater Threshers · 5 IPFIP 2.40 → 3.51 (+1.11)K% 33.3% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.740	24.67%
BB% (unintentional) /BF	16.67%	—	×1.180	19.67%
HR / BF /BF	0.00%	÷1.000	×1.300	0.00%

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 100).

Result: FIP 2.40 → 3.51, 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 AClearwater Threshers · 40 IPFIP 3.31 → 4.57 (+1.26)K% 30.0% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.740	22.20%
BB% (unintentional) /BF	14.44%	—	×1.180	17.04%
HR / BF /BF	1.67%	÷1.000	×1.300	2.17%

Result: FIP 3.31 → 4.57, 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 AClearwater Threshers · 10 IPFIP 4.95 → 6.19 (+1.23)K% 19.5% → 14.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.51%	—	×0.740	14.44%
BB% (unintentional) /BF	17.07%	—	×1.180	20.15%
HR / BF /BF	2.44%	÷0.993	×1.300	3.19%

Result: FIP 4.95 → 6.19, 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
Konnor Ash (OGILVIE)	—	—	4.72	21.8%	11.6%	2.9%	—	4.81	21.7%	10.1%	34	+0.09	—	—	—
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	86
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	86
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	85
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	85
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	84
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	83
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	83
Cody Satterwhite R 2015 · 3.71 FIP	28	SU	3.71	20.2%	9.8%	1.9%	.333	4.04	17.7%	10.2%	75	+0.33	3.69	147	83
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	83
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	82
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	82
Grant Sides R 2016 · 3.83 FIP	27	SU	3.83	22.4%	11.9%	2.0%	.247	3.31	21.7%	11.9%	47	-0.52	3.31	159	82
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	82
Tyler Walker R 2004 · 4.28 FIP	28	SU	4.28	17.5%	8.4%	2.9%	.311	3.77	18.5%	10.4%	101	-0.51	2.38	289	81
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	81
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	81
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	81
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	80
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	79
Josh Lueke R 2013 · 4.09 FIP	28	SU	4.09	25.3%	11.1%	3.1%	.333	3.28	24.6%	20.9%	90	-0.81	2.29	191	79

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	39	21.7%	11.6%	1.16	4.74
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*