Hayden Juenger

P Las Vegas Aviators

Age 26 RHP 6'0" / 180 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	AAATOR	54	0	69	4.19	3.51	21.7%	8.8%	—	K 18.7% · BB 7.9% · FIP 3.77
2025	24	MIX3 levels	35	2	41	4.39	4.17	22.3%	13.4%	—	K 18.0% · BB 12.8% · FIP 4.96
2026	25	MIX2 levels	49	3	58	5.25	3.70	16.6%	8.9%	0.6	K 14.6% · BB 8.3% · FIP 3.85
2027PROJ	26	MLBOAK	25	0	26	4.57	4.69	15.8%	9.2%	-0.0
2028PROJ79% MLB	27	MLBOAK	30	0	31	4.62	4.69	16.5%	9.3%	-0.0
2029PROJ85% MLB	28	MLBOAK	28	0	29	4.68	4.74	16.9%	9.4%	-0.1

Last 3 seasons WAR 0.6 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo51

K%10

xwOBA vs10

Career WAR0.0 WAR median (P10 -0.4 / P90 1.4, comp-based) · star 0% · didn't stick 94%

CompsRoss Wolf (age 27) · Jacob Bosiokovic (age 25) · Greg Burke (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.57

FIP4.69

K%15.8%

BB%9.2%

K-BB%6.5%

Proj IP37

Value2027 · WAR

Runs saved vs league avg · 37 IP

Grades · Statcast · Contract

Scouting Grades

K†3040

Statcast Percentiles

FB Velo

p5194.6

Whiff%

p1014.8%

p107.4%

xwOBA vs

p100.371

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	20	A+ MLE	Vancouver Canadians	11	0	20	74	34	4	0	0%	1.8	35.4%	6.2%	29.2%	0.0%	2.70	0.90	—
2021	20	A+ RAW	Vancouver Canadians	11	0	20	74	34	4	0	0%	1.8	45.9%	5.4%	40.5%	0.0%	2.70	0.30	—
2022	21	MIX MLE	2 levels	38	19	89	361	100	37	18	50%	2.3	23.1%	11.1%	12.0%	5.8%	3.76	5.74	—
2022	21	MIX RAW	2 levels	38	19	89	361	100	37	18	50%	2.3	27.7%	10.2%	17.5%	5.0%	3.76	4.74	—
2023	22	AAA MLE	Buffalo Bisons	54	5	75	348	92	39	11	9%	1.4	22.7%	10.1%	12.6%	3.8%	6.33	4.54	—
2023	22	AAA RAW	Buffalo Bisons	54	5	75	348	92	39	11	9%	1.4	26.4%	11.2%	15.2%	3.2%	6.33	4.11	—
2024	23	AAA MLE	Buffalo Bisons	54	0	69	295	64	26	6	0%	1.3	18.7%	7.9%	10.7%	2.3%	4.19	3.77	—
2024	23	AAA MLE	Buffalo Bisons	54	0	69	295	64	26	6	0%	1.3	18.7%	7.9%	10.7%	2.3%	4.19	3.77	—
2024	23	AAA RAW	Buffalo Bisons	54	0	69	295	64	26	6	0%	1.3	21.7%	8.8%	12.9%	2.0%	4.19	3.51	—
2025	24	MIX MLE	3 levels	35	2	41	179	40	24	4	6%	1.2	18.0%	12.8%	5.3%	3.2%	4.39	4.96	—
2025	24	MIX MLE	3 levels	35	2	41	179	40	24	4	6%	1.2	18.0%	12.8%	5.3%	3.2%	4.39	4.96	—
2025	24	MIX RAW	3 levels	35	2	41	179	40	24	4	6%	1.2	22.3%	13.4%	8.9%	2.2%	4.39	4.17	—
2026	25	MIX MLE	2 levels	49	3	58	259	43	23	4	6%	1.2	14.6%	8.3%	6.3%	1.7%	5.25	3.85	+0.5
2026	25	MIX MLE	2 levels	49	3	58	259	43	23	4	6%	1.2	14.6%	8.3%	6.3%	1.7%	5.25	3.85	+0.5
2026	25	MIX RAW	2 levels	49	3	58	259	43	23	4	6%	1.2	16.6%	8.9%	7.7%	1.5%	5.25	3.70	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			15	0	16	81	6	8	0	0%	1.1	7.4%	9.9%	-2.5%	0.0%	9.00	3.85	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	OAK	25	0	26	110	17	10	3	0%	1.0	15.8%	9.2%	6.5%	2.5%	4.57	4.69	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	OAK	37	0	39	166	27	15	4	0%	1.1	16.5%	9.3%	7.2%	2.6%	4.62	4.69	-0.1
2029	28	MLB MLE	OAK	32	0	34	142	24	13	4	0%	1.1	16.9%	9.4%	7.5%	2.7%	4.68	4.74	-0.1
2028	27	MLB CTX	OAK	30	0	31	131	22	12	3	0%	1.0	16.5%	9.3%	7.2%	2.6%	4.62	4.69	-0.0
2029	28	MLB CTX	OAK	28	0	29	122	21	12	3	0%	1.0	16.9%	9.4%	7.5%	2.7%	4.68	4.74	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		72	0	76	334	48	32	7	0%	1.1	14.5%	9.5%	5.0%	2.0%	5.57	4.19	+0.3
/ 200 IP	—	RAW		190	0	200	880	127	84	18	0%	1.1	14.5%	9.5%	5.0%	2.0%	5.57	4.19	+0.9
Career	—	MLE		241	29	352	1516	314	147	51	12%	1.5	20.7%	9.7%	11.0%	3.4%	4.65	4.43	-0.0
/ 200 IP	—	MLE		137	16	200	861	178	84	29	12%	1.5	20.7%	9.7%	11.0%	3.4%	4.65	4.43	-0.0

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 AAALas Vegas Aviators · 42 IPFIP 3.65 → 3.91 (+0.26)K% 20.8% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.79%	—	×0.860	17.88%
BB% (unintentional) /BF	8.43%	—	×0.900	7.58%
HR / BF /BF	2.25%	÷1.000	×1.100	2.47%

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 3.65 → 3.91, 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 AAABuffalo Bisons · 36 IPFIP 4.48 → 4.96 (+0.47)K% 21.0% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.99%	—	×0.860	18.05%
BB% (unintentional) /BF	14.20%	—	×0.900	12.78%
HR / BF /BF	2.47%	÷0.847	×1.100	3.21%

Result: FIP 4.48 → 4.96, 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 AAABuffalo Bisons · 69 IPFIP 3.50 → 3.77 (+0.27)K% 21.7% → 18.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.69%	—	×0.860	18.66%
BB% (unintentional) /BF	8.81%	—	×0.900	7.93%
HR / BF /BF	2.03%	÷0.990	×1.100	2.26%

Result: FIP 3.50 → 3.77, 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 AAABuffalo Bisons · 75 IPFIP 4.02 → 4.54 (+0.52)K% 26.4% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.44%	—	×0.860	22.74%
BB% (unintentional) /BF	11.21%	—	×0.900	10.09%
HR / BF /BF	3.16%	÷0.916	×1.100	3.79%

Result: FIP 4.02 → 4.54, 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 AANew Hampshire Fisher Cats · 56 IPFIP 4.68 → 5.76 (+1.08)K% 29.5% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.52%	—	×0.810	23.91%
BB% (unintentional) /BF	9.25%	—	×1.100	10.18%
HR / BF /BF	5.29%	÷1.027	×1.200	6.18%

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 105).

Result: FIP 4.68 → 5.76, 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).

2022 AAABuffalo Bisons · 33 IPFIP 4.99 → 5.70 (+0.71)K% 24.6% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.63%	—	×0.880	21.67%
BB% (unintentional) /BF	11.94%	—	×1.050	12.54%
HR / BF /BF	4.48%	÷0.951	×1.100	5.18%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 90).

Result: FIP 4.99 → 5.70, 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).

2021 A+Vancouver Canadians · 20 IPFIP -0.10 → 0.90 (+1.00)K% 45.9% → 35.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.95%	—	×0.770	35.38%
BB% (unintentional) /BF	5.41%	—	×1.150	6.22%
HR / BF /BF	0.00%	÷0.909	×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 82).

Result: FIP -0.10 → 0.90, 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
Hayden Juenger (OGILVIE)	—	—	4.69	15.8%	9.2%	2.5%	—	4.71	16.7%	7.3%	73	+0.02	—	—	—
Ross Wolf R 2010 · 3.95 FIP	27	SU	3.95	16.1%	8.9%	2.0%	.268	4.37	10.1%	3.3%	48	+0.42	3.43	179	87
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	86
Greg Burke R 2009 · 3.93 FIP	26	SU	3.93	16.2%	8.8%	2.0%	.295	—	—	—	—	—	3.61	139	86
Guillermo Moscoso R 2009 · 3.56 FIP	25	SU	3.56	18.8%	9.4%	1.6%	.311	4.33	15.8%	8.5%	178	+0.77	3.56	486	85
Leo Rosales R 2008 · 3.91 FIP	27	SU	3.91	13.2%	8.8%	1.5%	.288	4.05	16.2%	9.3%	62	+0.14	3.85	130	85
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	84
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	84
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	83
Chad Paronto R 2001 · 5.28 FIP	26	SU	5.28	12.5%	8.6%	3.9%	.292	3.73	14.9%	8.4%	36	-1.55	3.65	160	83
Cole Johnson R 2015 · 3.52 FIP	26	SU	3.52	17.4%	8.4%	1.5%	.311	3.61	14.0%	9.2%	49	+0.09	3.52	101	83
Justin Lehr R 2004 · 4.36 FIP	26	SU	4.36	11.1%	8.3%	2.1%	.283	4.47	15.2%	5.6%	50	+0.11	4.23	148	83
Cristhian Martinez R 2009 · 3.51 FIP	27	SU	3.51	16.1%	6.2%	1.8%	.294	3.46	19.8%	14.7%	177	-0.05	3.09	204	83
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	82
Kenyon Yovan R 2024 · 4.33 FIP	26	SU	4.33	14.5%	8.5%	2.5%	.340	3.27	21.3%	11.2%	106	-1.06	1.18	201	82
Carlos Lequerica R 2024 · 3.92 FIP	23	SU	3.92	16.3%	10.0%	1.7%	.302	5.06	16.9%	5.1%	96	+1.14	3.92	129	82
Cesar Gomez R 2024 · 4.50 FIP	26	SU	4.50	15.7%	9.1%	2.9%	.338	5.17	14.1%	5.8%	63	+0.67	4.11	345	82
Rob Scahill R 2013 · 4.28 FIP	26	SU	4.28	13.4%	5.4%	3.0%	.302	3.73	16.6%	8.3%	108	-0.55	3.06	250	82
Confesor Lara R 2016 · 4.26 FIP	25	SU	4.26	16.4%	11.0%	2.1%	.329	—	—	—	—	—	3.74	111	82
Aaron Kurcz R 2017 · 4.84 FIP	26	SU	4.84	15.4%	8.4%	3.6%	.301	3.97	26.2%	21.8%	50	-0.87	3.31	213	82
Jonathan Hughes R 2023 · 4.31 FIP	26	SU	4.31	17.1%	9.2%	2.7%	.283	3.54	17.1%	4.9%	50	-0.77	3.44	219	82

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	0.6	42	15.1%	9.4%	0.86	5.18
Travis Miller ('02)	1.3	45	16.3%	9.2%	0.91	5.05
Vic Darensbourg ('05)	1.5	50	17.0%	9.3%	1.01	4.96
Tom Martin ('07)	1.6	53	15.8%	10.1%	1.02	4.92
Joe Grzenda ('61-'72, 0 WAR*)	1.5	51	17.2%*	8.6%*	0.76*	4.83*
Dave Leiper ('84-'96, 0 WAR*)	1.4	46	15.6%*	9.1%*	0.94*	4.28*
Bert Roberge ('79-'86, 1 WAR*)	1.1	37	18.1%*	8.7%*	0.68*	4.73*