Garrett Schoenle

P Charlotte Knights

Age 29 LHP 6'5" / 185 lbs AAA

Overview

AAAPROSPECT

MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX3 levels	33	6	70	1.67	1.76	31.8%	8.3%	—	K 25.2% · BB 8.0% · FIP 2.32
2025	27	MIX2 levels	48	0	61	3.82	3.78	21.4%	8.0%	—	K 17.7% · BB 7.7% · FIP 4.09
2026	28	AAACWS	45	0	58	3.12	3.98	23.5%	11.9%	—	K 20.2% · BB 10.7% · FIP 4.25
2027PROJ	29	MLBCWS	4	0	4	4.56	4.56	19.9%	9.5%	-0.0
2028PROJ37% MLB	30	MLBCWS	10	0	11	4.64	4.72	19.9%	9.8%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.1 / P90 0.3, comp-based) · star 0% · didn't stick 97%

CompsRaul Valdes (age 32) · Andrew Barbosa (age 29) · Ryan Verdugo (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 104112vR 120

ERA4.56

FIP4.56

K%19.9%

BB%9.5%

K-BB%10.4%

Proj IP40

Value2027 · WAR

Runs saved vs league avg · 40 IP

Grades · Contract

Scouting Grades

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	ROK MLE	ACL White Sox	10	0	10	41	11	3	0	0%	1.0	26.8%	7.3%	19.5%	0.0%	2.70	1.76	—
2021	23	ROK RAW	ACL White Sox	10	0	10	41	11	3	0	0%	1.0	26.8%	7.3%	19.5%	0.0%	2.70	1.80	—
2022	24	MIX MLE	3 levels	30	14	85	362	101	34	10	47%	2.8	21.4%	10.8%	10.6%	3.5%	3.92	4.60	—
2022	24	MIX RAW	3 levels	30	14	85	362	101	34	10	47%	2.8	27.9%	9.4%	18.5%	2.8%	3.92	3.45	—
2023	25	AA MLE	Birmingham Barons	34	18	103	462	117	63	15	53%	3.0	20.5%	15.0%	5.5%	3.8%	6.22	5.38	—
2023	25	AA RAW	Birmingham Barons	34	18	103	462	117	63	15	53%	3.0	25.3%	13.6%	11.7%	3.2%	6.22	4.56	—
2024	26	MIX MLE	3 levels	33	6	70	277	88	23	1	18%	2.1	25.2%	8.0%	17.1%	0.6%	1.67	2.32	—
2024	26	MIX MLE	3 levels	33	6	70	277	88	23	1	18%	2.1	25.2%	8.0%	17.1%	0.6%	1.67	2.32	—
2024	26	MIX RAW	3 levels	33	6	70	277	88	23	1	18%	2.1	31.8%	8.3%	23.5%	0.4%	1.67	1.76	—
2025	27	MIX MLE	2 levels	48	0	61	262	56	21	7	0%	1.3	17.7%	7.7%	10.0%	2.8%	3.82	4.09	—
2025	27	MIX MLE	2 levels	48	0	61	262	56	21	7	0%	1.3	17.7%	7.7%	10.0%	2.8%	3.82	4.09	—
2025	27	MIX RAW	2 levels	48	0	61	262	56	21	7	0%	1.3	21.4%	8.0%	13.4%	2.7%	3.82	3.78	—
2026	28	AAA MLE	Charlotte Knights	45	0	58	243	57	29	6	0%	1.3	20.2%	10.7%	9.4%	2.7%	3.12	4.25	—
2026	28	AAA MLE	Charlotte Knights	45	0	58	243	57	29	6	0%	1.3	20.2%	10.7%	9.4%	2.7%	3.12	4.25	—
2026	28	AAA RAW	Charlotte Knights	45	0	58	243	57	29	6	0%	1.3	23.5%	11.9%	11.5%	2.5%	3.12	3.98	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	CWS	4	0	4	17	3	2	0	0%	1.0	19.9%	9.5%	10.4%	2.8%	4.56	4.56	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	CWS	30	0	31	131	26	13	4	0%	1.0	19.9%	9.8%	10.1%	3.1%	4.64	4.72	-0.1
2028	30	MLB CTX	CWS	10	0	11	46	9	5	1	0%	1.1	19.9%	9.8%	10.1%	3.1%	4.64	4.72	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	11	48	10	5	1	0%	1.0	19.9%	9.8%	10.1%	3.1%	4.64	4.33	+0.0
/ 200 IP	—	RAW		190	0	200	844	175	88	18	0%	1.1	19.9%	9.8%	10.1%	3.1%	4.64	4.33	+0.5
Career	—	MLE		200	38	387	1647	348	180	46	19%	1.9	21.1%	10.9%	10.2%	2.8%	3.96	4.23	-0.1
/ 200 IP	—	MLE		103	20	200	852	180	93	24	19%	1.9	21.1%	10.9%	10.2%	2.8%	3.96	4.23	-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.

2026 AAACharlotte Knights · 58 IPFIP 3.99 → 4.25 (+0.26)K% 23.5% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.46%	—	×0.860	20.17%
BB% (unintentional) /BF	11.93%	—	×0.900	10.74%
HR / BF /BF	2.47%	÷1.000	×1.100	2.72%

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 3.99 → 4.25, 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 AAACharlotte Knights · 28 IPFIP 5.26 → 4.96 (−0.30)K% 15.8% → 13.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.79%	—	×0.860	13.58%
BB% (unintentional) /BF	11.28%	—	×0.900	10.15%
HR / BF /BF	3.76%	÷1.320	×1.100	3.13%

Result: FIP 5.26 → 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).

2025 AABirmingham Barons · 34 IPFIP 2.25 → 3.19 (+0.95)K% 27.1% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.13%	—	×0.810	21.98%
BB% (unintentional) /BF	4.65%	—	×1.100	5.12%
HR / BF /BF	1.55%	÷0.784	×1.200	2.37%

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 57).

Result: FIP 2.25 → 3.19, 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 AABirmingham Barons · 55 IPFIP 1.65 → 2.32 (+0.66)K% 31.1% → 25.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.05%	—	×0.810	25.15%
BB% (unintentional) /BF	7.31%	—	×1.100	8.04%
HR / BF /BF	0.46%	÷0.935	×1.200	0.59%

Result: FIP 1.65 → 2.32, 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+Winston-Salem Dash · 12 IPFIP 1.87 → 2.75 (+0.88)K% 33.3% → 25.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.770	25.67%
BB% (unintentional) /BF	12.50%	—	×1.150	14.37%
HR / BF /BF	0.00%	÷0.817	×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 63).

Result: FIP 1.87 → 2.75, 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 AABirmingham Barons · 103 IPFIP 4.47 → 5.38 (+0.91)K% 25.3% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.32%	—	×0.810	20.51%
BB% (unintentional) /BF	13.64%	—	×1.100	15.00%
HR / BF /BF	3.25%	÷1.013	×1.200	3.85%

Result: FIP 4.47 → 5.38, 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+Winston-Salem Dash · 46 IPFIP 4.25 → 5.55 (+1.31)K% 24.8% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.76%	—	×0.770	19.06%
BB% (unintentional) /BF	8.74%	—	×1.150	10.05%
HR / BF /BF	3.88%	÷0.955	×1.250	5.08%

Result: FIP 4.25 → 5.55, 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).

2022 AKannapolis Cannon Ballers · 23 IPFIP 1.74 → 2.81 (+1.07)K% 35.5% → 26.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.48%	—	×0.740	26.26%
BB% (unintentional) /BF	12.90%	—	×1.180	15.23%
HR / BF /BF	0.00%	÷1.172	×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 134).

Result: FIP 1.74 → 2.81, 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
Garrett Schoenle (OGILVIE)	—	—	4.56	19.9%	9.5%	2.8%	—	4.72	19.9%	10.1%	31	+0.16	—	—	—
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	86
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	86
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	84
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	79
Tommy Phelps L 2003 · 3.39 FIP	29	SW	3.39	15.6%	8.0%	1.1%	.322	4.47	16.9%	8.9%	57	+1.08	3.39	120	78
Arturo Barradas L 2017 · 3.42 FIP	29	SU	3.42	18.1%	7.0%	1.8%	.288	3.24	16.1%	9.5%	34	-0.18	3.24	163	78
Chad Zerbe L 2001 · 3.75 FIP	29	SU	3.75	13.6%	6.2%	1.8%	.299	3.88	9.4%	2.6%	106	+0.13	3.75	145	77
Jeff Ibarra L 2017 · 3.64 FIP	29	SU	3.64	18.1%	7.0%	2.1%	.342	2.85	20.6%	17.2%	29	-0.79	2.85	101	77
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	76
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	75
Josh Smoker L 2018 · 3.66 FIP	29	SU	3.66	22.1%	8.4%	2.5%	.318	6.58	14.2%	3.4%	14	+2.92	2.71	230	75
Colt Hynes L 2013 · 4.76 FIP	28	SU	4.76	15.5%	8.3%	3.5%	.361	3.49	19.3%	12.8%	96	-1.27	3.42	169	74
Matt Thornton L 2006 · 3.43 FIP	29	SU	3.43	21.6%	7.5%	2.2%	.263	2.61	27.2%	20.5%	196	-0.82	1.71	663	74
Jake McSteen L 2024 · 4.64 FIP	28	SU	4.64	19.7%	6.4%	4.4%	.348	2.22	18.9%	13.2%	18	-2.42	2.22	286	74
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	74
John Rheinecker L 2007 · 5.13 FIP	28	SW	5.13	16.7%	10.9%	3.8%	.317	—	—	—	—	—	4.14	121	74
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	74
Randy Keisler L 2005 · 5.07 FIP	29	SW	5.07	16.4%	9.9%	3.8%	.295	5.51	6.5%	0.0%	17	+0.44	5.07	135	74
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	73
Darin Downs L 2014 · 3.78 FIP	29	SU	3.78	18.2%	11.5%	1.4%	.255	4.06	12.9%	8.7%	16	+0.28	2.83	107	73

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	0.4	36	19.9%	9.6%	1.13	4.59
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Randy Flores ('10)	1.2	42	17.7%	9.3%	1.04	4.61
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*