Sean Reynolds

P El Paso Chihuahuas

Age 29 RHP 6'8" / 250 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	25	MIX2 levels	55	0	65	5.43	4.17	23.9%	16.3%	—	K 19.9% · BB 15.8% · FIP 4.36
2024	26	MIX2 levels	48	3	65	5.26	2.95	29.3%	12.7%	1.2	K 23.0% · BB 11.8% · FIP 3.55
2025	27	MIX2 levels	46	1	55	4.07	4.93	19.8%	16.5%	-0.2	K 18.5% · BB 15.5% · FIP 4.93
2026	28	No MLB games played
2027PROJ	29	MLBSD	4	0	4	4.95	5.10	21.2%	13.5%	-0.0
2028PROJ37% MLB	30	MLBSD	10	0	10	5.13	5.28	20.8%	13.3%	-0.1

Last 3 seasons WAR 1.0 · Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo71

K%45

xwOBA vs10

CompsJim Miller (age 30) · Gregory Infante (age 29) · Wirfin Obispo (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA4.95

FIP5.10

K%21.2%

BB%13.5%

K-BB%7.8%

Proj IP38

Value2027 · WAR

Runs saved vs league avg · 38 IP

Grades · Statcast · Contract

Scouting Grades

K†5050

Statcast Percentiles

FB Velo

p7196.0

Whiff%

p3222.7%

p4521.4%

xwOBA vs

p100.379

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	A MLE	Jupiter Hammerheads	19	0	32	149	37	23	0	0%	1.7	18.4%	18.2%	0.2%	0.0%	3.09	3.86	—
2021	23	A RAW	Jupiter Hammerheads	19	0	32	149	37	23	0	0%	1.7	24.8%	15.4%	9.4%	0.0%	3.09	2.94	—
2022	24	MIX MLE	2 levels	50	0	52	223	66	24	5	0%	1.0	23.3%	12.2%	11.1%	2.8%	4.13	4.22	—
2022	24	MIX RAW	2 levels	50	0	52	223	66	24	5	0%	1.0	29.6%	10.8%	18.8%	2.2%	4.13	3.20	—
2023	25	MIX MLE	2 levels	55	0	65	306	73	50	5	0%	1.2	19.9%	15.8%	4.2%	1.7%	5.43	4.36	—
2023	25	MIX RAW	2 levels	55	0	65	306	73	50	5	0%	1.2	23.9%	16.3%	7.5%	1.6%	5.43	4.17	—
2024	26	MIX MLE	2 levels	48	3	65	300	88	38	4	6%	1.4	23.0%	11.8%	11.1%	1.6%	5.26	3.55	+0.8
2024	26	MIX MLE	2 levels	48	3	65	300	88	38	4	6%	1.4	23.0%	11.8%	11.1%	1.6%	5.26	3.55	+0.8
2024	26	MIX RAW	2 levels	48	3	65	300	88	38	4	6%	1.4	29.3%	12.7%	16.7%	1.3%	5.26	2.95	+1.2
2025	27	MIX MLE	2 levels	46	1	55	237	47	39	6	2%	1.2	18.5%	15.5%	3.0%	2.6%	4.07	4.93	-0.2
2025	27	MIX MLE	2 levels	46	1	55	237	47	39	6	2%	1.2	18.5%	15.5%	3.0%	2.6%	4.07	4.93	-0.2
2025	27	MIX RAW	2 levels	46	1	55	237	47	39	6	2%	1.2	19.8%	16.5%	3.4%	2.5%	4.07	4.93	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			28	1	38	166	46	22	4	4%	1.4	27.7%	13.3%	14.5%	2.4%	4.03	3.78	+0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	SD	4	0	4	17	4	2	1	0%	1.0	21.2%	13.5%	7.8%	3.1%	4.95	5.10	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	SD	26	0	28	117	24	16	4	0%	1.1	20.8%	13.3%	7.4%	3.3%	5.08	5.23	-0.2
2028	30	MLB CTX	SD	10	0	10	42	9	6	1	0%	1.0	20.8%	13.3%	7.4%	3.4%	5.13	5.28	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		38	1	48	209	55	28	5	3%	1.3	26.3%	13.3%	13.0%	2.6%	4.26	3.99	+0.3
/ 200 IP	—	RAW		156	4	200	868	228	116	21	3%	1.3	26.3%	13.3%	13.0%	2.6%	4.26	3.99	+1.3
Career	—	MLE		218	4	269	1215	253	175	23	2%	1.2	20.8%	14.4%	6.4%	1.9%	4.58	4.18	+0.1
/ 200 IP	—	MLE		162	3	200	902	188	130	17	2%	1.2	20.8%	14.4%	6.4%	1.9%	4.58	4.18	+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.

2025 AAAEl Paso Chihuahuas · 28 IPFIP 4.79 → 4.88 (+0.10)K% 18.3% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.33%	—	×0.860	15.77%
BB% (unintentional) /BF	18.33%	—	×0.900	16.50%
HR / BF /BF	1.67%	÷0.981	×1.100	1.87%

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 96).

Result: FIP 4.79 → 4.88, 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 AAAEl Paso Chihuahuas · 54 IPFIP 3.39 → 3.55 (+0.17)K% 26.7% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.69%	—	×0.860	22.96%
BB% (unintentional) /BF	13.15%	—	×0.900	11.83%
HR / BF /BF	1.59%	÷1.078	×1.100	1.63%

Result: FIP 3.39 → 3.55, 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 AAAEl Paso Chihuahuas · 34 IPFIP 5.07 → 5.12 (+0.05)K% 20.5% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.45%	—	×0.860	17.59%
BB% (unintentional) /BF	19.32%	—	×0.900	17.39%
HR / BF /BF	2.27%	÷1.052	×1.100	2.38%

Result: FIP 5.07 → 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).

2023 AAPensacola Blue Wahoos · 31 IPFIP 2.68 → 3.33 (+0.65)K% 28.5% → 23.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.46%	—	×0.810	23.05%
BB% (unintentional) /BF	12.31%	—	×1.100	13.54%
HR / BF /BF	0.77%	÷1.091	×1.200	0.85%

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 118).

Result: FIP 2.68 → 3.33, 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).

2022 A+Beloit Sky Carp · 28 IPFIP 2.74 → 4.01 (+1.27)K% 33.6% → 25.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.62%	—	×0.770	25.89%
BB% (unintentional) /BF	12.07%	—	×1.150	13.88%
HR / BF /BF	1.72%	÷0.885	×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 77).

Result: FIP 2.74 → 4.01, 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 AAPensacola Blue Wahoos · 25 IPFIP 3.69 → 4.44 (+0.75)K% 25.2% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.23%	—	×0.810	20.44%
BB% (unintentional) /BF	9.35%	—	×1.100	10.28%
HR / BF /BF	2.80%	÷1.048	×1.200	3.21%

Result: FIP 3.69 → 4.44, 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 AJupiter Hammerheads · 32 IPFIP 2.96 → 3.86 (+0.90)K% 24.8% → 18.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.83%	—	×0.740	18.38%
BB% (unintentional) /BF	15.44%	—	×1.180	18.21%
HR / BF /BF	0.00%	÷0.891	×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 78).

Result: FIP 2.96 → 3.86, 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
Sean Reynolds (OGILVIE)	—	—	5.10	21.2%	13.5%	3.1%	—	5.23	20.8%	7.4%	28	+0.13	—	—	—
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	81
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	81
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	80
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.49	22.0%	0.2%	51	+0.40	4.09	130	79
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	77
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	76
Jose Veras R 2010 · 4.10 FIP	29	SU	4.10	26.9%	14.4%	2.6%	.239	3.42	25.3%	14.8%	201	-0.68	3.37	422	76
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	76
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	76
Dan Winkler R 2019 · 4.99 FIP	29	SU	4.99	20.6%	15.2%	3.1%	.237	4.44	23.0%	8.4%	104	-0.55	2.40	231	75
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	75
Arquimedes Caminero R 2016 · 4.45 FIP	29	SU	4.45	17.9%	11.4%	2.6%	.314	4.62	18.6%	7.5%	38	+0.17	3.54	186	73
José Ramírez R 2017 · 4.56 FIP	27	SU	4.56	21.7%	10.9%	3.5%	.218	—	—	—	—	—	3.36	206	73
Scott Dohmann R 2007 · 4.28 FIP	29	SU	4.28	19.1%	12.5%	2.2%	.289	4.38	18.2%	9.1%	15	+0.10	4.28	173	72
Cristofer Ogando R 2022 · 4.90 FIP	28	SU	4.90	20.6%	11.6%	3.8%	.236	—	—	—	—	—	3.23	179	72
Yoervis Medina R 2015 · 4.40 FIP	27	SU	4.40	18.2%	11.6%	2.5%	.315	—	—	—	—	—	3.01	186	72
Roman Mendez R 2019 · 4.42 FIP	29	SU	4.42	20.8%	11.1%	3.0%	.276	—	—	—	—	—	3.91	263	72
Matt Lindstrom R 2009 · 4.12 FIP	29	SU	4.12	17.8%	10.0%	2.3%	.320	3.16	17.7%	11.7%	154	-0.96	2.40	443	72
Kyle Snyder R 2007 · 4.83 FIP	29	SU	4.83	16.9%	12.4%	2.9%	.232	—	—	—	—	—	3.80	236	72
Jose Arredondo R 2012 · 4.00 FIP	28	SU	4.00	23.6%	12.2%	2.5%	.265	—	—	—	—	—	3.01	220	71

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	0.5	34	23.5%	13.3%	1.12	4.65
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Tim Byrdak ('13)	1.7	42	21.4%	13.3%	1.22	4.35
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27