Zak Kent

P Rochester Red Wings

Age 29 RHP 6'3" / 208 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	15	4	26	6.66	3.80	25.4%	14.8%	—	K 21.5% · BB 14.0% · FIP 4.04
2025	27	MIX2 levels	46	0	56	3.40	2.99	28.1%	12.3%	1.0	K 25.1% · BB 11.4% · FIP 3.13
2026	28	MIX2 levels	51	6	73	4.81	4.42	20.9%	9.0%	0.1	K 18.5% · BB 8.4% · FIP 4.62
2027PROJ	29	MLBWSH	44	0	46	4.70	4.90	18.7%	10.8%	-0.2
2028PROJ80% MLB	30	MLBWSH	25	0	26	4.88	5.05	18.5%	11.0%	-0.1
2029PROJ85% MLB	31	MLBWSH	15	0	16	5.06	5.22	18.1%	11.2%	-0.1

Last 3 seasons WAR 1.2 · Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo26

xwOBA vs19

K%10

Career WAR0.0 WAR median (P10 -0.2 / P90 0.3, comp-based) · star 0% · didn't stick 96%

CompsYoanner Negrin (age 31) · Ramon Delgado (age 29) · Vinny Nittoli (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.70

FIP4.90

K%18.7%

BB%10.8%

K-BB%7.9%

Proj IP63

Value2027 · WAR

Runs saved vs league avg · 63 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL4040

CMD4040

K†4545

Statcast Percentiles

FB Velo

p2692.8

Whiff%

p2021.1%

p1015.6%

xwOBA vs

p190.349

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)
2019	21	ROK MLE	AZL Rangers	1	0	1	4	2	0	0	0%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-1.12	—
2019	21	ROK RAW	AZL Rangers	1	0	1	4	2	0	0	0%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-0.90	—
2021	23	MIX MLE	2 levels	20	15	89	367	117	23	14	75%	4.5	25.0%	7.1%	17.9%	4.6%	3.64	4.40	—
2021	23	MIX RAW	2 levels	20	15	89	367	117	23	14	75%	4.5	31.9%	6.3%	25.6%	3.8%	3.64	3.29	—
2022	24	MIX MLE	2 levels	24	24	110	462	110	43	13	100%	4.6	19.6%	10.1%	9.5%	3.6%	3.94	4.71	—
2022	24	MIX RAW	2 levels	24	24	110	462	110	43	13	100%	4.6	23.8%	9.3%	14.5%	2.8%	3.94	3.81	—
2023	25	MIX MLE	2 levels	13	13	41	171	43	13	7	100%	3.1	20.9%	6.4%	14.5%	3.0%	4.87	3.82	—
2023	25	MIX RAW	2 levels	13	13	41	171	43	13	7	100%	3.1	25.1%	7.6%	17.5%	4.1%	4.87	4.18	—
2024	26	MIX MLE	2 levels	15	4	26	122	31	18	2	27%	1.7	21.5%	14.0%	7.5%	1.8%	6.66	4.04	—
2024	26	MIX MLE	2 levels	15	4	26	122	31	18	2	27%	1.7	21.5%	14.0%	7.5%	1.8%	6.66	4.04	—
2024	26	MIX RAW	2 levels	15	4	26	122	31	18	2	27%	1.7	25.4%	14.8%	10.7%	1.6%	6.66	3.80	—
2025	27	MIX MLE	2 levels	46	0	56	235	66	29	3	0%	1.2	25.1%	11.4%	13.7%	1.3%	3.40	3.13	+0.9
2025	27	MIX MLE	2 levels	46	0	56	235	66	29	3	0%	1.2	25.1%	11.4%	13.7%	1.3%	3.40	3.13	+0.9
2025	27	MIX RAW	2 levels	46	0	56	235	66	29	3	0%	1.2	28.1%	12.3%	15.7%	1.3%	3.40	2.99	+1.0
2026	28	MIX MLE	2 levels	51	6	73	321	67	29	11	12%	1.4	18.5%	8.4%	10.1%	3.7%	4.81	4.62	-0.1
2026	28	MIX MLE	2 levels	51	6	73	321	67	29	11	12%	1.4	18.5%	8.4%	10.1%	3.7%	4.81	4.62	-0.1
2026	28	MIX RAW	2 levels	51	6	73	321	67	29	11	12%	1.4	20.9%	9.0%	11.8%	3.4%	4.81	4.42	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			23	0	34	153	28	16	4	0%	1.5	18.3%	10.5%	7.8%	2.6%	5.03	4.39	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	WSH	44	0	46	194	36	21	6	0%	1.0	18.7%	10.8%	7.9%	3.0%	4.70	4.90	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	WSH	31	0	33	138	25	15	4	0%	1.1	18.5%	11.0%	7.5%	3.2%	4.88	5.05	-0.2
2029	31	MLB MLE	WSH	18	0	19	80	15	9	3	0%	1.1	18.1%	11.2%	6.9%	3.4%	5.06	5.22	-0.1
2028	30	MLB CTX	WSH	25	0	26	110	20	12	3	0%	1.0	18.5%	11.0%	7.5%	3.2%	4.88	5.05	-0.1
2029	31	MLB CTX	WSH	15	0	16	68	12	8	2	0%	1.1	18.1%	11.2%	6.9%	3.4%	5.06	5.22	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		63	0	76	332	61	36	10	0%	1.2	18.3%	10.8%	7.5%	3.0%	4.98	4.54	+0.0
/ 200 IP	—	RAW		166	0	200	869	160	94	26	0%	1.2	18.3%	10.8%	7.5%	3.0%	4.98	4.54	+0.0
Career	—	MLE		170	62	395	1682	365	155	56	36%	2.3	21.7%	9.2%	12.5%	3.3%	4.22	4.25	-0.3
/ 200 IP	—	MLE		86	31	200	852	185	78	28	36%	2.3	21.7%	9.2%	12.5%	3.3%	4.22	4.25	-0.6

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 AAARochester Red Wings · 57 IPFIP 4.09 → 4.42 (+0.34)K% 22.5% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.54%	—	×0.860	19.39%
BB% (unintentional) /BF	8.61%	—	×0.900	7.75%
HR / BF /BF	3.28%	÷1.000	×1.100	3.61%

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 4.09 → 4.42, 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 AAAColumbus Clippers · 38 IPFIP 2.81 → 3.02 (+0.21)K% 31.4% → 27.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.45%	—	×0.860	27.04%
BB% (unintentional) /BF	13.21%	—	×0.900	11.89%
HR / BF /BF	1.26%	÷1.093	×1.100	1.27%

Result: FIP 2.81 → 3.02, 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 AAAColumbus Clippers · 24 IPFIP 3.90 → 4.04 (+0.13)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	15.52%	—	×0.900	13.97%
HR / BF /BF	1.72%	÷1.060	×1.100	1.79%

Result: FIP 3.90 → 4.04, 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 AAARound Rock Express · 34 IPFIP 3.52 → 3.82 (+0.30)K% 24.3% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.29%	—	×0.860	20.89%
BB% (unintentional) /BF	7.14%	—	×0.900	6.43%
HR / BF /BF	2.86%	÷1.035	×1.100	3.04%

Result: FIP 3.52 → 3.82, 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 ROKACL Rangers · 7 IPFIP 7.19 → 9.58 (+2.40)K% 29.0% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.03%	—	×0.680	19.74%
BB% (unintentional) /BF	9.68%	—	×1.250	12.10%
HR / BF /BF	9.68%	÷1.124	×1.400	12.06%

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 125).

Result: FIP 7.19 → 9.58, 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 AAFrisco RoughRiders · 83 IPFIP 3.80 → 4.84 (+1.03)K% 24.6% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.58%	—	×0.810	19.91%
BB% (unintentional) /BF	8.47%	—	×1.100	9.32%
HR / BF /BF	3.11%	÷0.915	×1.200	4.08%

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 83).

Result: FIP 3.80 → 4.84, 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 AAARound Rock Express · 27 IPFIP 3.84 → 4.29 (+0.44)K% 21.3% → 18.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.30%	—	×0.880	18.74%
BB% (unintentional) /BF	12.04%	—	×1.050	12.64%
HR / BF /BF	1.85%	÷0.957	×1.100	2.13%

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 91).

Result: FIP 3.84 → 4.29, 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+Hickory Crawdads · 60 IPFIP 2.30 → 3.52 (+1.22)K% 32.2% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.23%	—	×0.770	24.82%
BB% (unintentional) /BF	6.20%	—	×1.150	7.13%
HR / BF /BF	2.07%	÷0.881	×1.250	2.93%

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 76).

Result: FIP 2.30 → 3.52, 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
Zak Kent (OGILVIE)	—	—	4.90	18.7%	10.8%	3.0%	—	5.11	18.3%	7.3%	52	+0.21	—	—	—
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	70
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	68
Vinny Nittoli R 2019 · 4.18 FIP	28	SU	4.18	19.0%	6.9%	3.3%	.302	3.86	26.9%	20.4%	93	-0.32	3.66	331	68
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	68
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	68
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	67
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	67
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	67
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	66
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	66
André Rienzo R 2017 · 4.40 FIP	29	SW	4.40	18.9%	15.6%	1.7%	.301	5.33	17.9%	6.1%	29	+0.93	3.53	321	66
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	66
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	66
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	66
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	65
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	65
Carlos Fisher R 2011 · 4.33 FIP	28	SU	4.33	15.5%	9.1%	2.5%	.275	—	—	—	—	—	2.48	245	65
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	65
Jared Fernandez R 2001 · 4.66 FIP	29	SW	4.66	8.8%	10.5%	1.8%	.267	3.95	14.0%	5.6%	89	-0.71	3.57	101	65
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.40	236	65

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	0.7	49	18.5%	10.8%	1.15	4.86
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*