Patrick Weigel

P Albuquerque Isotopes

Age 33 RHP 6'6" / 240 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	30	MIX2 levels	21	0	22	2.45	2.33	25.3%	11.1%	—	K 22.9% · BB 11.6% · FIP 2.64
2025	31	AAAWSH	31	0	34	8.29	5.57	29.5%	9.6%	—	K 25.4% · BB 8.7% · FIP 6.09
2026	32	AAACOL	29	9	48	7.50	5.45	20.4%	16.7%	—	K 17.6% · BB 15.0% · FIP 5.28
2027PROJ	33	MLBCOL	21	0	22	5.31	5.31	19.9%	12.8%	-0.2
2028PROJ6% MLB	34	MLBCOL	1	0	1	5.37	5.48	19.7%	13.0%	-0.0

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

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

CompsRudy Gonzalez (age 34) · Angel Sánchez (age 33) · Ivan Maldonado (age 35)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.31

FIP5.31

K%19.9%

BB%12.8%

K-BB%7.1%

Proj IP22

Value2027 · WAR

Runs saved vs league avg · 22 IP

Grades · Arsenal · Contract

Scouting Grades

K†4545

SL+1.5

FB-2.6

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 industry-standard fWAR.

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)
2015	21	ROK MLE	Danville Braves	14	14	52	238	49	26	2	100%	3.7	14.0%	13.7%	0.3%	1.2%	4.53	4.29	—
2015	21	ROK RAW	Danville Braves	14	14	52	238	49	26	2	100%	3.7	20.6%	10.9%	9.7%	0.8%	4.53	3.22	—
2016	22	MIX MLE	2 levels	25	24	150	604	152	55	9	96%	6.0	18.8%	10.6%	8.2%	1.9%	2.47	3.92	—
2016	22	MIX RAW	2 levels	25	24	150	604	152	55	9	96%	6.0	25.2%	9.1%	16.1%	1.5%	2.47	2.95	—
2017	23	MIX MLE	2 levels	15	15	78	332	68	28	7	100%	5.2	17.2%	9.0%	8.2%	2.5%	4.14	4.15	—
2017	23	MIX RAW	2 levels	15	15	78	332	68	28	7	100%	5.2	20.5%	8.4%	12.0%	2.1%	4.14	3.60	—
2018	24	ROK MLE	GCL Braves	4	3	4	12	6	0	0	75%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-1.12	—
2018	24	ROK RAW	GCL Braves	4	3	4	12	6	0	0	75%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	0.10	—
2019	25	MIX MLE	2 levels	28	18	79	328	71	40	9	64%	2.8	18.7%	12.9%	5.8%	3.4%	2.73	5.00	—
2019	25	MIX RAW	2 levels	28	18	79	328	71	40	9	64%	2.8	21.6%	12.2%	9.5%	2.7%	2.73	4.30	—
2020	26	MLB MLE	Atlanta Braves	1	0	1	7	0	3	0	0%	0.7	0.0%	42.9%	-42.9%	0.0%	27.00	8.53	-0.0
2020	26	MLB RAW	Atlanta Braves	1	0	1	7	0	3	0	0%	0.7	0.0%	42.9%	-42.9%	0.0%	27.00	16.60	-0.1
2021	27	MIX MLE	2 levels	39	1	47	237	57	41	7	3%	1.2	19.6%	18.0%	1.6%	3.3%	7.04	5.56	-0.6
2021	27	MIX RAW	2 levels	39	1	47	237	57	41	7	3%	1.2	24.1%	17.3%	6.8%	3.0%	7.04	5.21	-0.4
2022	28	AAA MLE	Tacoma Rainiers	53	1	62	273	63	38	6	2%	1.2	20.3%	14.6%	5.7%	2.1%	4.21	4.40	—
2022	28	AAA RAW	Tacoma Rainiers	53	1	62	273	63	38	6	2%	1.2	23.1%	13.9%	9.2%	2.2%	4.21	4.16	—
2024	30	MIX MLE	2 levels	21	0	22	99	25	11	0	0%	1.0	22.9%	11.6%	11.2%	0.0%	2.45	2.64	—
2024	30	MIX MLE	2 levels	21	0	22	99	25	11	0	0%	1.0	22.9%	11.6%	11.2%	0.0%	2.45	2.64	—
2024	30	MIX RAW	2 levels	21	0	22	99	25	11	0	0%	1.0	25.3%	11.1%	14.1%	0.0%	2.45	2.33	—
2025	31	AAA MLE	Rochester Red Wings	31	0	34	156	46	15	10	0%	1.1	25.4%	8.7%	16.7%	7.3%	8.29	6.09	—
2025	31	AAA MLE	Rochester Red Wings	31	0	34	156	46	15	10	0%	1.1	25.4%	8.7%	16.7%	7.3%	8.29	6.09	—
2025	31	AAA RAW	Rochester Red Wings	31	0	34	156	46	15	10	0%	1.1	29.5%	9.6%	19.9%	6.4%	8.29	5.57	—
2026	32	AAA MLE	Albuquerque Isotopes	29	9	48	240	49	40	7	31%	1.7	17.6%	15.0%	2.6%	3.2%	7.50	5.28	—
2026	32	AAA MLE	Albuquerque Isotopes	29	9	48	240	49	40	7	31%	1.7	17.6%	15.0%	2.6%	3.2%	7.50	5.28	—
2026	32	AAA RAW	Albuquerque Isotopes	29	9	48	240	49	40	7	31%	1.7	20.4%	16.7%	3.8%	2.9%	7.50	5.45	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			4	0	5	28	9	7	1	0%	1.2	32.1%	25.0%	7.1%	3.6%	7.71	6.53	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	COL	21	0	22	93	19	12	3	0%	1.0	19.9%	12.8%	7.1%	3.4%	5.31	5.31	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	COL	19	0	20	84	17	11	3	0%	1.1	19.7%	13.0%	6.8%	3.7%	5.37	5.48	-0.2
2028	34	MLB CTX	COL	1	0	1	4	1	1	0	0%	1.0	19.7%	13.0%	6.8%	3.7%	5.37	5.48	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		5	0	6	33	10	8	1	0%	1.2	30.4%	23.3%	7.1%	3.6%	7.27	5.45	-0.1
/ 200 IP	—	RAW		175	0	200	1132	347	277	35	0%	1.1	30.4%	23.3%	7.1%	3.6%	7.27	5.45	-2.1
Career	—	MLE		260	85	576	2526	478	316	67	33%	2.2	18.9%	12.5%	6.4%	2.6%	4.25	4.53	-0.3
/ 200 IP	—	MLE		90	29	200	877	166	110	23	33%	2.2	18.9%	12.5%	6.4%	2.6%	4.25	4.53	-2.6

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
Patrick Weigel (OGILVIE)	—	—	5.31	19.9%	12.8%	3.4%	—	5.48	19.7%	6.8%	20	+0.17	—	—	—
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	74
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	71
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	70
Marco Antonio Duarte R 2019 · 5.03 FIP	32	SW	5.03	12.2%	9.1%	3.3%	.420	—	—	—	—	—	4.07	203	68
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	68
Jhan Mariñez R 2022 · 5.36 FIP	33	SU	5.36	17.4%	11.4%	4.2%	.324	—	—	—	—	—	3.16	253	67
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	66
JC Ramírez R 2022 · 6.17 FIP	33	SU	6.17	15.7%	14.0%	4.8%	.275	—	—	—	—	—	3.75	393	65
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	65
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	64
Mike Buddie R 2002 · 4.26 FIP	31	SU	4.26	15.1%	7.6%	2.7%	.297	—	—	—	—	—	3.76	123	64
Austin Adams R 2019 · 5.80 FIP	32	SU	5.80	20.8%	10.6%	5.7%	.280	—	—	—	—	—	3.40	162	64
Rodolfo Aguirre R 2017 · 5.96 FIP	32	SW	5.96	10.0%	13.0%	3.8%	.316	4.50	21.3%	16.2%	15	-1.46	3.39	212	62
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	62
Steve Delabar R 2016 · 4.62 FIP	33	SU	4.62	20.4%	15.6%	2.3%	.308	—	—	—	—	—	2.43	229	62
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	2.16	306	61
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	61
Jake Sanchez R 2023 · 4.70 FIP	33	SU	4.70	20.3%	10.6%	3.6%	.317	—	—	—	—	—	1.86	361	61
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	61
Mike James R 2001 · 4.52 FIP	33	SU	4.52	15.0%	8.7%	2.9%	.299	4.84	19.6%	9.8%	11	+0.32	2.87	314	61