Colin Peluse

P Reading Fightin Phils

Age 29 RHP 6'3" / 230 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	33	2	59	2.75	3.56	19.0%	9.1%	—	K 16.9% · BB 8.2% · FIP 3.76
2025	27	AAOAK	47	0	58	2.64	2.53	22.9%	5.1%	—	K 18.5% · BB 5.6% · FIP 3.05
2026	28	MIX2 levels	23	0	30	7.58	5.26	23.2%	5.8%	—	K 19.4% · BB 4.9% · FIP 6.16
2027PROJ	29	MLBPHI	1	0	1	4.37	4.37	18.4%	5.1%	0.0
2028PROJ31% MLB	30	MLBPHI	14	0	15	4.47	4.54	18.6%	5.9%	0.0
2029PROJ51% MLB	31	MLBPHI	19	0	20	4.62	4.73	18.6%	6.5%	-0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control60Command55

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsRamon Delgado (age 29) · Murphy Smith (age 29) · Diego Moreno (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.37

FIP4.37

K%18.4%

BB%5.1%

K-BB%13.3%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL6060

CMD5555

K†4545

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	23	MIX MLE	2 levels	21	18	101	414	109	26	11	86%	4.8	20.4%	7.2%	13.3%	3.5%	3.39	4.20	—
2021	23	MIX RAW	2 levels	21	18	101	414	109	26	11	86%	4.8	26.3%	6.3%	20.0%	2.7%	3.39	3.13	—
2022	24	MIX MLE	2 levels	24	22	120	527	93	29	19	92%	5.0	14.5%	6.0%	8.5%	5.0%	5.83	5.39	—
2022	24	MIX RAW	2 levels	24	22	120	527	93	29	19	92%	5.0	17.6%	5.5%	12.1%	3.6%	5.83	4.33	—
2023	25	AAA MLE	Las Vegas Aviators	42	5	65	315	52	37	20	12%	1.5	14.2%	10.6%	3.6%	7.0%	6.78	7.09	—
2023	25	AAA RAW	Las Vegas Aviators	42	5	65	315	52	37	20	12%	1.5	16.5%	11.7%	4.8%	6.3%	6.78	7.21	—
2024	26	MIX MLE	2 levels	33	2	59	232	44	21	4	6%	1.8	16.9%	8.2%	8.7%	1.9%	2.75	3.76	—
2024	26	MIX MLE	2 levels	33	2	59	232	44	21	4	6%	1.8	16.9%	8.2%	8.7%	1.9%	2.75	3.76	—
2024	26	MIX RAW	2 levels	33	2	59	232	44	21	4	6%	1.8	19.0%	9.1%	9.9%	1.7%	2.75	3.56	—
2025	27	AA MLE	Midland RockHounds	47	0	58	236	54	12	3	0%	1.2	18.5%	5.6%	12.9%	1.5%	2.64	3.05	—
2025	27	AA MLE	Midland RockHounds	47	0	58	236	54	12	3	0%	1.2	18.5%	5.6%	12.9%	1.5%	2.64	3.05	—
2025	27	AA RAW	Midland RockHounds	47	0	58	236	54	12	3	0%	1.2	22.9%	5.1%	17.8%	1.3%	2.64	2.53	—
2026	28	MIX MLE	2 levels	23	0	30	138	32	8	8	0%	1.3	19.4%	4.9%	14.5%	7.4%	7.58	6.16	—
2026	28	MIX MLE	2 levels	23	0	30	138	32	8	8	0%	1.3	19.4%	4.9%	14.5%	7.4%	7.58	6.16	—
2026	28	MIX RAW	2 levels	23	0	30	138	32	8	8	0%	1.3	23.2%	5.8%	17.4%	5.8%	7.58	5.26	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	PHI	1	0	1	4	1	0	0	0%	1.0	18.4%	5.1%	13.3%	3.3%	4.37	4.37	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	PHI	45	0	47	198	37	12	7	0%	1.0	18.6%	5.9%	12.8%	3.4%	4.47	4.54	+0.0
2029	31	MLB MLE	PHI	37	0	39	166	31	11	6	0%	1.1	18.6%	6.5%	12.1%	3.6%	4.62	4.73	-0.1
2028	30	MLB CTX	PHI	14	0	15	63	12	4	2	0%	1.1	18.6%	5.9%	12.8%	3.4%	4.47	4.54	+0.0
2029	31	MLB CTX	PHI	19	0	20	84	16	5	3	0%	1.1	18.6%	6.5%	12.1%	3.6%	4.62	4.73	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		33	0	35	147	27	9	5	0%	1.1	18.6%	6.2%	12.4%	3.6%	4.56	4.27	+0.1
/ 200 IP	—	RAW		190	0	200	844	155	52	29	0%	1.1	18.6%	6.2%	12.4%	3.6%	4.56	4.27	+0.7
Career	—	MLE		190	47	433	1862	316	134	81	25%	2.3	16.9%	7.2%	9.8%	4.4%	4.68	4.97	-0.1
/ 200 IP	—	MLE		88	22	200	860	146	62	37	25%	2.3	16.9%	7.2%	9.8%	4.4%	4.68	4.97	-0.2

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 AAReading Fightin Phils · 25 IPFIP 5.04 → 6.16 (+1.12)K% 23.9% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.89%	—	×0.810	19.35%
BB% (unintentional) /BF	4.42%	—	×1.100	4.87%
HR / BF /BF	6.19%	÷1.000	×1.200	7.43%

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 5.04 → 6.16, 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 AAALehigh Valley IronPigs · 5 IPFIP 5.13 → 5.43 (+0.30)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	12.00%	—	×0.900	10.80%
HR / BF /BF	4.00%	÷1.000	×1.100	4.40%

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 5.13 → 5.43, 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 · 58 IPFIP 2.51 → 3.05 (+0.54)K% 22.9% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.88%	—	×0.810	18.53%
BB% (unintentional) /BF	5.08%	—	×1.100	5.59%
HR / BF /BF	1.27%	÷1.043	×1.200	1.46%

Result: FIP 2.51 → 3.05, 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 AAMidland RockHounds · 53 IPFIP 3.10 → 3.76 (+0.66)K% 20.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.90%	—	×0.810	16.93%
BB% (unintentional) /BF	7.46%	—	×1.100	8.21%
HR / BF /BF	1.49%	÷0.940	×1.200	1.90%

Result: FIP 3.10 → 3.76, 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 AAALas Vegas Aviators · 6 IPFIP 6.78 → 6.78 (+0.01)K% 6.5% → 5.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	6.45%	—	×0.860	5.55%
BB% (unintentional) /BF	19.35%	—	×0.900	17.42%
HR / BF /BF	3.23%	÷1.001	×1.100	3.54%

Result: FIP 6.78 → 6.78, 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 AAALas Vegas Aviators · 65 IPFIP 6.68 → 7.09 (+0.41)K% 16.5% → 14.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.51%	—	×0.860	14.20%
BB% (unintentional) /BF	11.75%	—	×0.900	10.57%
HR / BF /BF	6.35%	÷0.996	×1.100	7.01%

Result: FIP 6.68 → 7.09, 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).

2022 AAMidland RockHounds · 119 IPFIP 4.10 → 5.39 (+1.29)K% 17.9% → 14.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.93%	—	×0.810	14.53%
BB% (unintentional) /BF	5.46%	—	×1.100	6.00%
HR / BF /BF	3.31%	÷0.793	×1.200	5.02%

Result: FIP 4.10 → 5.39, 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 A+Lansing Lugnuts · 86 IPFIP 3.24 → 4.33 (+1.08)K% 25.8% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.77%	—	×0.770	19.84%
BB% (unintentional) /BF	6.16%	—	×1.150	7.09%
HR / BF /BF	2.80%	÷0.959	×1.250	3.65%

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 92).

Result: FIP 3.24 → 4.33, 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
Colin Peluse (OGILVIE)	—	—	4.37	18.4%	5.1%	3.3%	—	4.63	18.6%	12.5%	86	+0.26	—	—	—
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	80
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	79
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	78
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	77
Casey Sadler R 2019 · 3.56 FIP	29	SU	3.56	21.8%	4.9%	3.1%	.279	3.04	25.1%	15.9%	60	-0.52	2.21	385	75
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	75
Gus Schlosser R 2016 · 3.92 FIP	27	SU	3.92	18.7%	5.6%	3.1%	.364	—	—	—	—	—	3.92	107	75
Felipe Arredondo R 2016 · 3.92 FIP	29	SW	3.92	17.2%	6.6%	2.6%	.281	4.71	15.4%	8.2%	139	+0.79	3.92	337	74
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	74
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	74
Theo Denlinger R 2024 · 4.23 FIP	28	SU	4.23	15.3%	5.4%	3.2%	.324	—	—	—	—	—	2.92	140	73
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	72
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	72
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	72
Nolan Clenney R 2024 · 4.23 FIP	28	SU	4.23	20.1%	6.8%	3.6%	.366	5.65	8.3%	-10.0%	18	+1.42	3.73	223	72
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	71
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	71
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	71
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	71
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	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	0.7	48	18.5%	5.7%	1.33	4.47
Casey Fien ('17)	1.4	58	21.0%	5.1%	1.46	4.42
Jamie Walker ('09)	2.2	55	16.7%	5.8%	1.49	4.13
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
Tim Crews ('87-'92, 3 WAR*)	2.1	71	20.8%*	6.2%*	1.09*	4.11*