Mitch Neunborn

P Lehigh Valley IronPigs

Age 30 RHP 6'0" / 190 lbs AAA

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MIX2 levels	29	15	91	3.15	3.37	24.4%	10.7%	—	K 19.0% · BB 12.0% · FIP 4.25
2025	28	MIX2 levels	32	15	89	6.39	5.31	20.6%	9.4%	—	K 16.9% · BB 9.2% · FIP 5.91
2026	29	MIX4 levels	28	1	33	4.05	5.26	17.9%	13.5%	—	K 14.7% · BB 12.4% · FIP 5.40
2027PROJ	30	MLBPHI	6	0	6	5.30	5.30	16.1%	9.6%	-0.0
2028PROJ37% MLB	31	MLBPHI	14	0	15	5.32	5.40	16.4%	9.9%	-0.1
2029PROJ55% MLB	32	MLBPHI	17	0	18	5.42	5.55	16.5%	10.3%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control60Command55

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

CompsRodolfo Aguirre (age 30) · Felipe Arredondo (age 30) · Eder Llamas (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.30

FIP5.30

K%16.1%

BB%9.6%

K-BB%6.5%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Contract

Scouting Grades

STUF5050

CTRL6060

CMD5555

K†4040

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)
2023	26	A+ MLE	Jersey Shore BlueClaws	16	10	43	170	54	14	3	62%	2.7	24.5%	9.5%	15.0%	2.6%	3.38	3.65	—
2023	26	A+ RAW	Jersey Shore BlueClaws	16	10	43	170	54	14	3	62%	2.7	31.8%	8.2%	23.5%	1.8%	3.38	2.47	—
2024	27	MIX MLE	2 levels	29	15	91	394	96	42	7	52%	3.1	19.0%	12.0%	7.0%	2.2%	3.15	4.25	—
2024	27	MIX MLE	2 levels	29	15	91	394	96	42	7	52%	3.1	19.0%	12.0%	7.0%	2.2%	3.15	4.25	—
2024	27	MIX RAW	2 levels	29	15	91	394	96	42	7	52%	3.1	24.4%	10.7%	13.7%	1.8%	3.15	3.37	—
2025	28	MIX MLE	2 levels	32	15	89	393	81	37	19	47%	2.8	16.9%	9.2%	7.8%	5.6%	6.39	5.91	—
2025	28	MIX MLE	2 levels	32	15	89	393	81	37	19	47%	2.8	16.9%	9.2%	7.8%	5.6%	6.39	5.91	—
2025	28	MIX RAW	2 levels	32	15	89	393	81	37	19	47%	2.8	20.6%	9.4%	11.2%	4.8%	6.39	5.31	—
2026	29	MIX MLE	4 levels	28	1	33	156	28	21	5	4%	1.2	14.7%	12.4%	2.2%	3.6%	4.05	5.40	—
2026	29	MIX MLE	4 levels	28	1	33	156	28	21	5	4%	1.2	14.7%	12.4%	2.2%	3.6%	4.05	5.40	—
2026	29	MIX RAW	4 levels	28	1	33	156	28	21	5	4%	1.2	17.9%	13.5%	4.5%	3.2%	4.05	5.26	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	PHI	6	0	6	25	4	2	1	0%	1.0	16.1%	9.6%	6.5%	3.6%	5.30	5.30	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	PHI	39	0	41	174	29	17	7	0%	1.1	16.4%	9.9%	6.5%	3.7%	5.32	5.40	-0.4
2029	32	MLB MLE	PHI	31	0	33	139	23	14	5	0%	1.1	16.5%	10.3%	6.2%	3.9%	5.42	5.55	-0.4
2028	31	MLB CTX	PHI	14	0	15	63	10	6	2	0%	1.1	16.4%	9.9%	6.5%	3.7%	5.32	5.40	-0.1
2029	32	MLB CTX	PHI	17	0	18	76	13	8	3	0%	1.1	16.5%	10.3%	6.2%	3.9%	5.42	5.55	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		32	0	33	141	23	14	5	0%	1.0	16.4%	10.1%	6.3%	3.8%	5.37	5.10	-0.2
/ 200 IP	—	RAW		190	0	200	844	138	84	30	0%	1.1	16.4%	10.1%	6.3%	3.8%	5.37	5.10	-1.3
Career	—	MLE		105	41	256	1113	206	119	41	39%	2.4	18.5%	10.7%	7.8%	3.7%	4.43	4.91	-0.8
/ 200 IP	—	MLE		82	32	200	870	161	93	32	39%	2.4	18.5%	10.7%	7.8%	3.7%	4.43	4.91	-2.1

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 AAALehigh Valley IronPigs · 26 IPFIP 5.19 → 5.40 (+0.21)K% 17.1% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.07%	—	×0.860	14.68%
BB% (unintentional) /BF	13.82%	—	×0.900	12.44%
HR / BF /BF	3.25%	÷1.000	×1.100	3.58%

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 5.19 → 5.40, 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 AAReading Fightin Phils · 58 IPFIP 4.17 → 5.06 (+0.89)K% 25.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.83%	—	×0.810	20.93%
BB% (unintentional) /BF	5.83%	—	×1.100	6.42%
HR / BF /BF	4.58%	÷1.036	×1.200	5.31%

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 107).

Result: FIP 4.17 → 5.06, 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).

2025 AAALehigh Valley IronPigs · 31 IPFIP 6.83 → 7.24 (+0.42)K% 12.4% → 10.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.42%	—	×0.860	10.68%
BB% (unintentional) /BF	15.03%	—	×0.900	13.53%
HR / BF /BF	5.23%	÷0.947	×1.100	6.07%

Result: FIP 6.83 → 7.24, 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+Jersey Shore BlueClaws · 68 IPFIP 3.05 → 4.06 (+1.01)K% 25.4% → 19.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.36%	—	×0.770	19.53%
BB% (unintentional) /BF	8.70%	—	×1.150	10.00%
HR / BF /BF	1.81%	÷0.926	×1.250	2.44%

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 85).

Result: FIP 3.05 → 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).

2024 AAReading Fightin Phils · 24 IPFIP 4.10 → 4.70 (+0.60)K% 22.0% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.03%	—	×0.810	17.85%
BB% (unintentional) /BF	15.25%	—	×1.100	16.78%
HR / BF /BF	1.69%	÷1.137	×1.200	1.79%

Result: FIP 4.10 → 4.70, 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 A+Jersey Shore BlueClaws · 43 IPFIP 2.43 → 3.65 (+1.22)K% 31.8% → 24.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.76%	—	×0.770	24.46%
BB% (unintentional) /BF	8.24%	—	×1.150	9.47%
HR / BF /BF	1.76%	÷0.858	×1.250	2.57%

Result: FIP 2.43 → 3.65, 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 Neunborn (OGILVIE)	—	—	5.30	16.1%	9.6%	3.6%	—	5.47	16.4%	6.4%	74	+0.17	—	—	—
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	83
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	82
Eder Llamas R 2016 · 4.12 FIP	30	SW	4.12	11.4%	6.8%	2.0%	.301	3.23	11.3%	4.6%	64	-0.89	3.23	171	80
Marco Carrillo R 2017 · 5.33 FIP	30	SW	5.33	11.1%	7.4%	4.1%	.278	6.08	9.9%	0.8%	104	+0.75	5.33	194	79
Chris Jakubauskas R 2009 · 4.97 FIP	30	SW	4.97	12.1%	6.2%	3.9%	.250	4.42	15.7%	7.8%	72	-0.55	4.42	165	79
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	78
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	78
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	76
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	75
Grant Black R 2023 · 5.49 FIP	29	SU	5.49	15.9%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	74
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	74
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	73
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	72
Ramon Delgado R 2017 · 4.31 FIP	30	SW	4.31	11.2%	4.0%	3.0%	.322	—	—	—	—	—	4.31	135	71
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.00	313	71
Mike Broadway R 2017 · 4.73 FIP	30	SU	4.73	18.3%	10.2%	3.4%	.245	4.65	23.0%	12.4%	49	-0.08	1.74	195	71
Cody Satterwhite R 2017 · 4.22 FIP	30	SU	4.22	17.0%	7.1%	3.0%	.310	—	—	—	—	—	3.69	147	71
Ivan Zavala R 2017 · 5.02 FIP	30	SU	5.02	12.8%	8.0%	3.6%	.286	5.15	12.7%	5.3%	61	+0.13	4.27	209	70
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	69
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	69

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	0.7	44	16.3%	9.9%	1.44	5.34
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*