Kent Emanuel

P Louisville Bats

Age 35 LHP 6'4" / 225 lbs AAA

Overview

AAASPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	31	MIX2 levels	21	13	85	6.12	4.03	20.5%	5.8%	—	K 17.3% · BB 5.2% · FIP 4.20
2024	32	MIX2 levels	27	7	66	6.41	4.46	17.5%	7.3%	0.1	K 15.6% · BB 6.8% · FIP 4.69
2026	34	MIX2 levels	7	6	39	4.19	4.60	20.2%	9.5%	0.4	K 17.8% · BB 8.1% · FIP 5.12
2027PROJ	35	MLBCIN	5	5	38	4.86	5.23	14.1%	8.4%	0.1
2028PROJ66% MLB	36	MLBCIN	3	3	21	5.22	5.51	14.0%	9.1%	-0.0

Last 3 seasons WAR 0.4 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo10

K%10

xwOBA vs10

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsChris Michalak (age 35) · Tomas Solis (age 34) · Juan Antonio Pena (age 37)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116124vR 133

ERA4.86

FIP5.23

K%14.1%

BB%8.4%

K-BB%5.6%

Proj IP50

Value2027 · WAR

Runs saved vs league avg · 50 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1089.4

Whiff%

p1012.2%

p1014.6%

xwOBA vs

p100.366

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)
2015	23	AA MLE	Corpus Christi Hooks	4	2	15	66	5	5	1	50%	3.7	6.1%	8.3%	-2.2%	1.7%	3.68	4.58	—
2015	23	AA RAW	Corpus Christi Hooks	4	2	15	66	5	5	1	50%	3.7	7.6%	7.6%	0.0%	1.5%	3.68	4.33	—
2016	24	AA MLE	Corpus Christi Hooks	17	16	83	361	58	20	8	94%	4.9	13.0%	6.1%	6.9%	2.2%	5.23	3.99	—
2016	24	AA RAW	Corpus Christi Hooks	17	16	83	361	58	20	8	94%	4.9	16.1%	5.5%	10.5%	2.2%	5.23	3.68	—
2017	25	MIX MLE	2 levels	25	19	116	531	91	37	14	76%	4.7	14.3%	7.5%	6.8%	3.0%	5.72	4.51	—
2017	25	MIX RAW	2 levels	25	19	116	531	91	37	14	76%	4.7	17.1%	7.0%	10.2%	2.6%	5.72	4.05	—
2018	26	AAA MLE	Fresno Grizzlies	31	10	84	380	86	25	10	32%	2.7	19.9%	6.9%	13.0%	3.0%	5.59	3.96	—
2018	26	AAA RAW	Fresno Grizzlies	31	10	84	380	86	25	10	32%	2.7	22.6%	6.6%	16.1%	2.6%	5.59	3.49	—
2019	27	AAA MLE	Round Rock Express	28	7	102	413	81	23	9	25%	3.6	17.3%	5.8%	11.4%	2.5%	3.90	3.77	—
2019	27	AAA RAW	Round Rock Express	28	7	102	413	81	23	9	25%	3.6	19.6%	5.6%	14.0%	2.2%	3.90	3.34	—
2021	29	MLB MLE	Houston Astros	10	0	18	68	13	4	4	0%	1.8	19.1%	5.9%	13.2%	6.0%	2.55	5.55	-0.2
2021	29	MLB RAW	Houston Astros	10	0	18	68	13	4	4	0%	1.8	19.1%	5.9%	13.2%	5.9%	2.55	5.25	-0.1
2022	30	MIX MLE	3 levels	13	13	58	236	52	8	4	100%	4.5	19.6%	3.2%	16.4%	2.1%	2.64	3.03	—
2022	30	MIX RAW	3 levels	13	13	58	236	52	8	4	100%	4.5	22.0%	3.4%	18.6%	1.7%	2.64	2.62	—
2023	31	MIX MLE	2 levels	21	13	85	381	78	22	13	62%	4.1	17.3%	5.2%	12.1%	3.5%	6.12	4.20	—
2023	31	MIX RAW	2 levels	21	13	85	381	78	22	13	62%	4.1	20.5%	5.8%	14.7%	3.4%	6.12	4.03	—
2024	32	MIX MLE	2 levels	27	7	66	303	53	22	10	26%	2.4	15.6%	6.8%	8.8%	3.7%	6.41	4.69	-0.1
2024	32	MIX MLE	2 levels	27	7	66	303	53	22	10	26%	2.4	15.6%	6.8%	8.8%	3.7%	6.41	4.69	-0.1
2024	32	MIX RAW	2 levels	27	7	66	303	53	22	10	26%	2.4	17.5%	7.3%	10.2%	3.3%	6.41	4.46	+0.1
2026	34	MIX MLE	2 levels	7	6	39	168	34	16	6	86%	5.5	17.8%	8.1%	9.7%	4.6%	4.19	5.12	+0.1
2026	34	MIX MLE	2 levels	7	6	39	168	34	16	6	86%	5.5	17.8%	8.1%	9.7%	4.6%	4.19	5.12	+0.1
2026	34	MIX RAW	2 levels	7	6	39	168	34	16	6	86%	5.5	20.2%	9.5%	10.7%	3.6%	4.19	4.60	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			23	1	40	173	29	14	8	4%	1.8	16.8%	8.1%	8.7%	4.6%	4.46	5.28	-0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	CIN	5	5	38	160	23	14	5	100%	7.6	14.1%	8.4%	5.6%	3.4%	4.86	5.23	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	CIN	4	4	32	133	19	12	5	100%	7.9	14.0%	9.1%	4.8%	3.7%	5.22	5.51	-0.0
2028	36	MLB CTX	CIN	3	3	21	89	12	8	3	100%	7.0	14.0%	9.1%	4.8%	3.7%	5.22	5.51	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		26	4	61	261	41	22	11	15%	2.4	15.8%	8.4%	7.4%	4.3%	4.72	5.21	-0.5
/ 200 IP	—	RAW		85	13	200	853	134	72	36	15%	2.4	15.8%	8.4%	7.4%	4.3%	4.72	5.21	-1.5
Career	—	MLE		183	93	665	2907	476	183	89	51%	3.6	16.4%	6.3%	10.1%	3.0%	5.00	4.19	+0.0
/ 200 IP	—	MLE		55	28	200	875	143	55	27	51%	3.6	16.4%	6.3%	10.1%	3.0%	5.00	4.19	+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 AAALouisville Bats · 34 IPFIP 4.76 → 5.12 (+0.36)K% 20.7% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.69%	—	×0.860	17.79%
BB% (unintentional) /BF	8.97%	—	×0.900	8.07%
HR / BF /BF	4.14%	÷1.000	×1.100	4.55%

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 4.76 → 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).

2024 AAAJacksonville Jumbo Shrimp · 48 IPFIP 3.88 → 4.30 (+0.41)K% 18.6% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.55%	—	×0.860	15.95%
BB% (unintentional) /BF	6.79%	—	×0.900	6.11%
HR / BF /BF	2.71%	÷0.925	×1.100	3.23%

Result: FIP 3.88 → 4.30, 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 AAAIndianapolis Indians · 84 IPFIP 4.03 → 4.20 (+0.17)K% 20.1% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.11%	—	×0.860	17.29%
BB% (unintentional) /BF	5.82%	—	×0.900	5.24%
HR / BF /BF	3.44%	÷1.095	×1.100	3.46%

Result: FIP 4.03 → 4.20, 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 AAALehigh Valley IronPigs · 49 IPFIP 2.72 → 3.03 (+0.31)K% 22.2% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.22%	—	×0.880	19.56%
BB% (unintentional) /BF	3.03%	—	×1.050	3.18%
HR / BF /BF	2.02%	÷1.039	×1.100	2.14%

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 108).

Result: FIP 2.72 → 3.03, 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 AClearwater Threshers · 6 IPFIP 1.37 → 2.08 (+0.70)K% 27.3% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.740	20.18%
BB% (unintentional) /BF	4.55%	—	×1.180	5.36%
HR / BF /BF	0.00%	÷1.000	×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 100).

Result: FIP 1.37 → 2.08, 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).

2019 AAARound Rock Express · 102 IPFIP 3.35 → 3.77 (+0.43)K% 19.6% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.61%	—	×0.880	17.26%
BB% (unintentional) /BF	5.57%	—	×1.050	5.85%
HR / BF /BF	2.18%	÷0.948	×1.100	2.53%

Result: FIP 3.35 → 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).

2018 AAAFresno Grizzlies · 84 IPFIP 3.47 → 3.96 (+0.50)K% 22.6% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.63%	—	×0.880	19.92%
BB% (unintentional) /BF	6.58%	—	×1.050	6.91%
HR / BF /BF	2.63%	÷0.951	×1.100	3.04%

Result: FIP 3.47 → 3.96, 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).

2017 AACorpus Christi Hooks · 74 IPFIP 3.31 → 3.88 (+0.57)K% 19.5% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.50%	—	×0.810	15.80%
BB% (unintentional) /BF	5.26%	—	×1.100	5.79%
HR / BF /BF	2.17%	÷1.035	×1.200	2.51%

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 107).

Result: FIP 3.31 → 3.88, 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).

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
Kent Emanuel (OGILVIE)	—	—	—	—	—	3.4%	—	5.51	14.0%	4.8%	32	+0.28	—	—	—
Chris Michalak L 2006 · 5.71 FIP	35	SP-	5.71	6.2%	8.6%	3.7%	.273	—	—	—	—	—	4.71	186	64
Tomas Solis L 2017 · 5.48 FIP	34	SP	5.48	11.3%	7.9%	4.2%	.322	6.44	8.9%	1.4%	57	+0.96	4.20	327	56
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	54
Kwang Hyun Kim L 2021 · 4.21 FIP	33	SP-	4.21	17.7%	8.2%	2.9%	.266	—	—	—	—	—	3.76	146	52
Chris Narveson L 2017 · 4.59 FIP	35	SP	4.59	12.2%	10.4%	2.2%	.264	—	—	—	—	—	4.00	625	48
Jorge Castillo L 2017 · 4.97 FIP	35	SP	4.97	11.2%	6.7%	3.6%	.337	4.91	19.6%	11.5%	119	-0.06	4.50	408	46
Luke Westphal L 2024 · 5.19 FIP	35	SW	5.19	15.7%	16.4%	2.4%	.299	—	—	—	—	—	2.97	294	45
Oscar Rivera L 2016 · 4.10 FIP	35	SP	4.10	10.7%	7.2%	1.8%	.309	5.80	9.8%	2.0%	42	+1.70	3.68	237	44
Arturo Lopez L 2017 · 4.34 FIP	34	SP	4.34	10.3%	5.4%	2.6%	.342	5.46	12.2%	5.4%	117	+1.12	4.34	445	40
Marlon Arias L 2019 · 4.83 FIP	34	SP	4.83	19.8%	11.2%	3.6%	.273	—	—	—	—	—	3.73	154	39
Orlando Lara L 2019 · 4.09 FIP	34	SP	4.09	22.0%	7.8%	3.4%	.329	—	—	—	—	—	3.85	426	38
Daniel Rodriguez L 2019 · 4.77 FIP	34	SP	4.77	20.8%	7.8%	4.5%	.329	—	—	—	—	—	2.89	391	36
Raul Valdes L 2013 · 4.07 FIP	35	SU	4.07	24.3%	5.3%	4.3%	.350	—	—	—	—	—	2.29	160	36
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	33
John Bale L 2009 · 4.31 FIP	35	SU	4.31	17.6%	11.8%	2.2%	.333	—	—	—	—	—	2.49	168	31
Hideki Okajima L 2010 · 4.27 FIP	34	SU	4.27	15.5%	7.0%	2.9%	.333	—	—	—	—	—	3.05	238	30
Yohan Pino R 2017 · 5.33 FIP	33	SP-	5.33	15.2%	3.6%	5.6%	.296	—	—	—	—	—	3.84	193	30
Andrew Albers L 2021 · 4.60 FIP	35	SP	4.60	16.9%	3.7%	4.5%	.312	—	—	—	—	—	2.98	568	30
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	29
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	27

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	61	14.9%	8.5%	1.51	4.82
Ricky Stone ('07)	1.3	64	15.2%	8.0%	1.55	4.68
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*