Sam Benschoter

P Louisville Bats

Age 29 RHP 6'3" / 215 lbs AAA

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	33	11	104	4.33	3.15	22.3%	9.5%	—	K 18.2% · BB 10.0% · FIP 3.61
2025	27	AAACIN	38	5	79	4.12	4.03	20.9%	6.7%	—	K 17.9% · BB 6.1% · FIP 4.61
2026	28	AAACIN	31	9	67	4.86	4.11	18.4%	8.2%	—	K 15.8% · BB 7.4% · FIP 4.28
2027PROJ	29	MLBCIN	7	0	7	4.67	4.67	16.3%	7.0%	-0.0
2028PROJ37% MLB	30	MLBCIN	18	0	19	4.74	4.81	16.6%	7.5%	-0.1
2029PROJ55% MLB	31	MLBCIN	22	0	23	4.87	4.98	16.8%	8.0%	-0.1

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control60Command50

Career WAR0.0 WAR median (P10 -0.2 / P90 0.1, comp-based) · star 0% · didn't stick 97%

CompsRamon Delgado (age 29) · Rodolfo Aguirre (age 30) · Yoanner Negrin (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.67

FIP4.67

K%16.3%

BB%7.0%

K-BB%9.3%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL6060

CMD5050

K†4040

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	5	2	9	38	19	4	0	40%	1.8	50.0%	10.5%	39.5%	0.0%	2.00	0.21	—
2021	23	MIX RAW	2 levels	5	2	9	38	19	4	0	40%	1.8	50.0%	10.5%	39.5%	0.0%	2.00	0.21	—
2022	24	MIX MLE	4 levels	22	17	78	336	118	31	8	77%	3.5	26.3%	9.2%	17.1%	3.0%	4.73	3.71	—
2022	24	MIX RAW	4 levels	22	17	78	336	118	31	8	77%	3.5	35.1%	9.2%	25.9%	2.4%	4.73	2.60	—
2023	25	AA MLE	Chattanooga Lookouts	27	27	124	576	140	67	29	100%	4.6	19.7%	12.8%	6.9%	5.9%	7.28	6.32	—
2023	25	AA RAW	Chattanooga Lookouts	27	27	124	576	140	67	29	100%	4.6	24.3%	11.6%	12.7%	5.0%	7.28	5.51	—
2024	26	MIX MLE	2 levels	33	11	104	453	101	43	6	33%	3.2	18.2%	10.0%	8.2%	1.4%	4.33	3.61	—
2024	26	MIX MLE	2 levels	33	11	104	453	101	43	6	33%	3.2	18.2%	10.0%	8.2%	1.4%	4.33	3.61	—
2024	26	MIX RAW	2 levels	33	11	104	453	101	43	6	33%	3.2	22.3%	9.5%	12.8%	1.3%	4.33	3.15	—
2025	27	AAA MLE	Louisville Bats	38	5	79	326	68	22	11	13%	2.1	17.9%	6.1%	11.9%	4.1%	4.12	4.61	—
2025	27	AAA MLE	Louisville Bats	38	5	79	326	68	22	11	13%	2.1	17.9%	6.1%	11.9%	4.1%	4.12	4.61	—
2025	27	AAA RAW	Louisville Bats	38	5	79	326	68	22	11	13%	2.1	20.9%	6.7%	14.1%	3.4%	4.12	4.03	—
2026	28	AAA MLE	Louisville Bats	31	9	67	305	56	25	8	29%	2.2	15.8%	7.4%	8.4%	2.9%	4.86	4.28	—
2026	28	AAA MLE	Louisville Bats	31	9	67	305	56	25	8	29%	2.2	15.8%	7.4%	8.4%	2.9%	4.86	4.28	—
2026	28	AAA RAW	Louisville Bats	31	9	67	305	56	25	8	29%	2.2	18.4%	8.2%	10.2%	2.6%	4.86	4.11	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	CIN	7	0	7	30	5	2	1	0%	1.0	16.3%	7.0%	9.3%	3.1%	4.67	4.67	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	CIN	49	0	52	217	36	16	7	0%	1.1	16.6%	7.5%	9.1%	3.3%	4.74	4.81	-0.2
2029	31	MLB MLE	CIN	40	0	42	179	30	14	6	0%	1.1	16.8%	8.0%	8.8%	3.5%	4.87	4.98	-0.2
2028	30	MLB CTX	CIN	18	0	19	80	13	6	3	0%	1.1	16.6%	7.5%	9.1%	3.3%	4.74	4.81	-0.1
2029	31	MLB CTX	CIN	22	0	23	97	16	8	3	0%	1.0	16.8%	8.0%	8.8%	3.5%	4.87	4.98	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	0	42	178	30	14	6	0%	1.1	16.7%	7.8%	8.9%	3.4%	4.81	4.52	+0.0
/ 200 IP	—	RAW		190	0	200	844	142	66	28	0%	1.1	16.7%	7.8%	8.9%	3.4%	4.81	4.52	+0.1
Career	—	MLE		156	71	460	2034	410	197	73	46%	2.9	20.2%	9.7%	10.5%	3.6%	5.18	4.59	-0.4
/ 200 IP	—	MLE		68	31	200	884	178	85	32	46%	2.9	20.2%	9.7%	10.5%	3.6%	5.18	4.59	-0.8

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 AAALouisville Bats · 67 IPFIP 4.03 → 4.28 (+0.26)K% 18.4% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.36%	—	×0.860	15.79%
BB% (unintentional) /BF	8.20%	—	×0.900	7.38%
HR / BF /BF	2.62%	÷1.000	×1.100	2.89%

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 4.03 → 4.28, 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 AAALouisville Bats · 79 IPFIP 4.05 → 4.61 (+0.57)K% 20.9% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.86%	—	×0.860	17.94%
BB% (unintentional) /BF	6.75%	—	×0.900	6.07%
HR / BF /BF	3.37%	÷0.901	×1.100	4.12%

Result: FIP 4.05 → 4.61, 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 AAChattanooga Lookouts · 84 IPFIP 2.94 → 3.49 (+0.55)K% 23.3% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.27%	—	×0.810	18.85%
BB% (unintentional) /BF	9.42%	—	×1.100	10.36%
HR / BF /BF	1.11%	÷1.089	×1.200	1.22%

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 2.94 → 3.49, 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 AAALouisville Bats · 20 IPFIP 3.97 → 4.06 (+0.08)K% 18.5% → 15.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.48%	—	×0.860	15.89%
BB% (unintentional) /BF	9.78%	—	×0.900	8.80%
HR / BF /BF	2.17%	÷1.111	×1.100	2.15%

Result: FIP 3.97 → 4.06, 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 AAChattanooga Lookouts · 124 IPFIP 5.28 → 6.32 (+1.03)K% 24.3% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.31%	—	×0.810	19.69%
BB% (unintentional) /BF	11.63%	—	×1.100	12.80%
HR / BF /BF	5.03%	÷1.017	×1.200	5.94%

Result: FIP 5.28 → 6.32, 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).

2022 ADaytona Tortugas · 52 IPFIP 2.56 → 4.26 (+1.69)K% 36.4% → 26.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.36%	—	×0.740	26.91%
BB% (unintentional) /BF	8.18%	—	×1.180	9.65%
HR / BF /BF	2.73%	÷0.883	×1.300	4.02%

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 77).

Result: FIP 2.56 → 4.26, 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+Dayton Dragons · 17 IPFIP 1.28 → 2.03 (+0.75)K% 31.9% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.94%	—	×0.770	24.60%
BB% (unintentional) /BF	6.94%	—	×1.150	7.99%
HR / BF /BF	0.00%	÷1.058	×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 112).

Result: FIP 1.28 → 2.03, 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 ROKACL Reds · 6 IPFIP 3.61 → 6.28 (+2.67)K% 44.0% → 29.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	44.00%	—	×0.680	29.92%
BB% (unintentional) /BF	16.00%	—	×1.250	20.00%
HR / BF /BF	4.00%	÷0.970	×1.400	5.78%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 3.61 → 6.28, 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
Sam Benschoter (OGILVIE)	—	—	4.67	16.3%	7.0%	3.1%	—	4.89	16.7%	9.0%	94	+0.22	—	—	—
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	88
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	81
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	81
Jose Pina R 2015 · 4.90 FIP	29	SW	4.90	16.9%	9.2%	3.8%	.231	3.66	13.6%	6.9%	246	-1.24	3.63	424	78
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	78
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	76
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	75
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	74
Fredy Quintero R 2017 · 4.45 FIP	29	SW	4.45	14.0%	8.7%	2.6%	.335	4.62	17.2%	3.5%	43	+0.17	4.29	241	73
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	73
Sugar Ray Marimon R 2015 · 4.12 FIP	26	SW	4.12	12.4%	9.1%	1.7%	.283	—	—	—	—	—	4.12	107	71
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	71
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	70
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	70
Jason Simontacchi R 2003 · 4.96 FIP	29	SW	4.96	13.1%	7.3%	3.7%	.309	8.14	4.5%	-5.9%	15	+3.18	4.79	356	70
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	70
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	70
Kolton Mahoney R 2019 · 3.56 FIP	27	SW	3.56	19.4%	8.8%	1.8%	.293	—	—	—	—	—	3.56	302	70
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	69
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	69

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	0.8	54	16.5%	7.4%	1.25	4.74
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*