Barrett Kent

P Inland Empire 66ers

Age 22 RHP 6'4" / 215 lbs A Svc 0.0 · Ctrl thru 2034 peak 0.2 · 2028

Overview

APROSPECTMiLBFA 2035

OGV OFP40OGV rank#399ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	18	MIX2 levels	3	1	9	0.00	2.18	27.8%	11.1%	—	K 27.8% · BB 11.1% · FIP 2.16
2024	19	ASEA	26	26	113	6.21	4.00	24.3%	11.8%	—	K 18.0% · BB 14.0% · FIP 5.40
2025	20	MIX2 levels	10	9	35	2.04	3.50	20.3%	13.7%	—	K 13.6% · BB 15.7% · FIP 4.52
2026	21	No MLB games played
2027PROJ	22	MLBSEA	—	—	0	5.38	5.38	18.6%	14.5%	—
2028PROJ49% MLB	23	MLBSEA	12	12	65	5.06	4.95	20.2%	12.7%	0.3
2029PROJ70% MLB	24	MLBSEA	17	17	93	4.83	4.72	21.2%	11.6%	0.7

Next 3 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Ext$0.8M2030Ext$0.8M2031Ext$0.9M2032Ext$2M2033Ext$2M2034Ext$2M

CompsGarrett Cave (age 22) · Adam Hill (age 22) · Aaron Davenport (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.38

FIP5.38

K%18.6%

BB%14.5%

K-BB%4.1%

Proj IP133

Value2027 · WAR

Runs saved vs league avg · 133 IP

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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)
2023	18	MIX MLE	2 levels	3	1	9	36	10	4	0	33%	2.9	27.8%	11.1%	16.7%	0.0%	0.00	2.16	—
2023	18	MIX RAW	2 levels	3	1	9	36	10	4	0	33%	2.9	27.8%	11.1%	16.7%	0.0%	0.00	2.18	—
2024	19	A MLE	Inland Empire 66ers	26	26	113	515	125	61	13	100%	4.3	18.0%	14.0%	4.0%	3.7%	6.21	5.40	—
2024	19	A MLE	Inland Empire 66ers	26	26	113	515	125	61	13	100%	4.3	18.0%	14.0%	4.0%	3.7%	6.21	5.40	—
2024	19	A RAW	Inland Empire 66ers	26	26	113	515	125	61	13	100%	4.3	24.3%	11.8%	12.4%	2.5%	6.21	4.00	—
2025	20	MIX MLE	2 levels	10	9	35	153	31	21	1	90%	3.5	13.6%	15.7%	-2.2%	1.0%	2.04	4.52	—
2025	20	MIX MLE	2 levels	10	9	35	153	31	21	1	90%	3.5	13.6%	15.7%	-2.2%	1.0%	2.04	4.52	—
2025	20	MIX RAW	2 levels	10	9	35	153	31	21	1	90%	3.5	20.3%	13.7%	6.5%	0.7%	2.04	3.50	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	SEA	—	—	0	—	—	—	—	—	—	18.6%	14.5%	4.1%	3.0%	5.38	5.38	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	SEA	25	25	133	562	114	72	16	100%	5.3	20.2%	12.7%	7.5%	2.9%	5.10	4.99	+0.6
2029	24	MLB MLE	SEA	24	24	133	562	119	65	16	100%	5.5	21.2%	11.6%	9.6%	2.9%	4.87	4.76	+1.0
2030	25	MLB MLE	SEA	16	16	95	402	87	44	12	100%	5.9	21.7%	10.9%	10.8%	2.9%	4.71	4.62	+0.9
2031	26	MLB MLE	SEA	16	16	94	398	87	43	12	100%	5.9	21.9%	10.8%	11.1%	2.9%	4.63	4.59	+0.9
2032	27	MLB MLE	SEA	15	15	92	388	85	42	11	100%	6.1	21.9%	10.9%	11.0%	2.9%	4.63	4.63	+0.8
2033	28	MLB MLE	SEA	15	15	88	369	80	41	11	100%	5.8	21.8%	11.1%	10.7%	3.0%	4.68	4.71	+0.7
2034	29	MLB MLE	SEA	14	14	81	344	74	39	11	100%	5.8	21.5%	11.3%	10.3%	3.2%	4.78	4.84	+0.5
2035	30	MLB MLE	SEA	12	12	74	313	66	36	11	100%	6.2	21.2%	11.6%	9.6%	3.4%	4.93	5.02	+0.3
2036	31	MLB MLE	SEA	11	11	67	282	59	34	10	100%	6.1	20.8%	11.9%	8.9%	3.6%	5.11	5.22	+0.1
2028	23	MLB CTX	SEA	12	12	65	274	56	35	8	100%	5.4	20.2%	12.7%	7.5%	2.9%	5.06	4.95	+0.3
2029	24	MLB CTX	SEA	17	17	93	393	83	46	11	100%	5.5	21.2%	11.6%	9.6%	2.8%	4.83	4.72	+0.7
2030	25	MLB CTX	SEA	13	13	77	325	71	36	9	100%	5.9	21.7%	10.9%	10.8%	2.8%	4.67	4.58	+0.7
2031	26	MLB CTX	SEA	14	14	82	346	76	37	10	100%	5.9	21.9%	10.8%	11.1%	2.8%	4.59	4.55	+0.8
2032	27	MLB CTX	SEA	14	14	83	350	77	38	10	100%	5.9	21.9%	10.9%	11.0%	2.9%	4.59	4.59	+0.7
2033	28	MLB CTX	SEA	14	14	81	342	74	38	10	100%	5.8	21.8%	11.1%	10.7%	3.0%	4.64	4.67	+0.6
2034	29	MLB CTX	SEA	13	13	76	321	69	36	10	100%	5.8	21.5%	11.3%	10.3%	3.1%	4.74	4.80	+0.5
2035	30	MLB CTX	SEA	12	12	69	291	62	34	10	100%	5.8	21.2%	11.6%	9.6%	3.3%	4.88	4.97	+0.3
2036	31	MLB CTX	SEA	10	10	63	266	55	32	9	100%	6.3	20.8%	11.9%	8.9%	3.5%	5.06	5.17	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		118	118	690	2912	623	332	87	100%	5.8	21.4%	11.4%	10.0%	3.0%	4.77	4.38	+8.2
/ 200 IP	—	RAW		34	34	200	844	181	96	25	100%	5.9	21.4%	11.4%	10.0%	3.0%	4.77	4.38	+2.4
Career	—	MLE		39	36	157	704	123	100	21	92%	4.0	17.5%	14.2%	3.3%	2.9%	4.93	5.04	+5.9
/ 200 IP	—	MLE		50	46	200	897	157	127	26	92%	4.0	17.5%	14.2%	3.3%	2.9%	4.93	5.04	+1.4

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.

2025 AInland Empire 66ers · 27 IPFIP 3.70 → 4.52 (+0.82)K% 18.3% → 13.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.33%	—	×0.740	13.57%
BB% (unintentional) /BF	13.33%	—	×1.180	15.73%
HR / BF /BF	0.83%	÷1.036	×1.300	1.05%

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 107).

Result: FIP 3.70 → 4.52, 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).

2025 ROKACL Angels · 8 IPFIP 2.72 → 3.93 (+1.22)K% 27.3% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.680	18.55%
BB% (unintentional) /BF	15.15%	—	×1.250	18.94%
HR / BF /BF	0.00%	÷0.873	×1.400	0.00%

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 75).

Result: FIP 2.72 → 3.93, 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 AInland Empire 66ers · 113 IPFIP 3.94 → 5.40 (+1.46)K% 24.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.27%	—	×0.740	17.96%
BB% (unintentional) /BF	11.84%	—	×1.180	13.98%
HR / BF /BF	2.52%	÷0.882	×1.300	3.72%

Result: FIP 3.94 → 5.40, 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 Angels · 5 IPFIP 2.89 → 4.04 (+1.15)K% 25.0% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.680	17.00%
BB% (unintentional) /BF	15.00%	—	×1.250	18.75%
HR / BF /BF	0.00%	÷0.910	×1.400	0.00%

Result: FIP 2.89 → 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).

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
Barrett Kent (OGILVIE)	—	—	—	—	—	3.0%	—	4.81	21.0%	9.1%	361	-0.57	—	—	—
Garrett Cave R 2018 · 4.99 FIP	22	SP	4.99	16.4%	14.9%	2.5%	.301	4.97	17.8%	-8.8%	40	-0.02	4.97	156	90
Adam Hill R 2019 · 5.00 FIP	22	SP	5.00	15.6%	12.6%	3.0%	.297	6.06	19.6%	8.9%	91	+1.06	5.00	213	87
Aaron Davenport R 2022 · 4.81 FIP	22	SP	4.81	20.0%	13.2%	3.2%	.280	4.94	16.9%	5.6%	391	+0.13	4.04	498	86
Elijah Dale R 2024 · 4.55 FIP	23	SP	4.55	16.7%	13.6%	2.1%	.239	6.48	18.4%	-1.6%	31	+1.93	4.55	140	85
Will Schomberg R 2024 · 4.85 FIP	23	SP	4.85	21.4%	15.6%	2.9%	.266	3.86	23.3%	11.7%	90	-0.99	3.86	206	85
Max Bain R 2021 · 5.21 FIP	23	SP	5.21	20.5%	15.2%	3.5%	.291	6.70	16.7%	-3.9%	81	+1.49	5.21	174	85
Jordan Sheffield R 2017 · 5.07 FIP	22	SP	5.07	16.8%	13.8%	3.0%	.320	5.60	22.6%	4.7%	89	+0.53	3.90	248	84
Josh Bostick R 2024 · 4.65 FIP	22	SP	4.65	19.3%	11.2%	3.2%	.304	5.40	21.7%	12.6%	119	+0.75	4.65	226	84
Jamison Hill R 2022 · 4.83 FIP	23	SP	4.83	18.4%	11.6%	3.3%	.280	5.02	16.1%	3.0%	202	+0.19	4.72	326	84
Zach Fruit R 2024 · 4.29 FIP	24	SP	4.29	19.3%	14.1%	1.9%	.258	5.03	15.4%	-0.2%	44	+0.74	4.29	151	83
Jesse Foppert R 2003 · 4.80 FIP	23	SP	4.80	20.2%	13.0%	3.2%	.274	7.32	11.3%	-13.2%	10	+2.52	4.80	121	83
Dinelson Lamet R 2015 · 4.36 FIP	23	SP	4.36	20.1%	11.8%	2.7%	.272	3.69	24.2%	13.1%	293	-0.67	2.11	778	83
Jake Peppers R 2024 · 5.02 FIP	22	SP	5.02	15.3%	12.2%	3.0%	.293	5.15	14.8%	-1.3%	89	+0.13	4.83	186	83
Will Sanders R 2024 · 4.95 FIP	22	SP	4.95	19.3%	11.8%	3.6%	.297	4.11	20.1%	12.5%	173	-0.84	3.92	266	83
Carlos Hernandez R 2016 · 4.32 FIP	22	SP	4.32	17.4%	15.7%	1.3%	.276	—	—	—	—	—	4.32	123	82
Michael YaSenka R 2021 · 5.98 FIP	23	SP	5.98	18.1%	15.0%	4.6%	.288	5.95	18.8%	6.1%	58	-0.03	5.95	154	82
Chris McElvain R 2023 · 4.76 FIP	22	SP	4.76	15.8%	11.6%	2.8%	.275	5.24	15.8%	4.7%	198	+0.48	4.07	294	82
Kyle Bradish R 2019 · 4.56 FIP	22	SP-	4.56	20.8%	13.7%	2.7%	.309	3.84	24.1%	14.7%	238	-0.72	2.20	750	82
Austin Brice R 2015 · 4.61 FIP	23	SP	4.61	18.5%	13.7%	2.4%	.295	3.72	19.0%	12.0%	222	-0.89	3.42	542	82
Bryce Osmond R 2023 · 5.56 FIP	22	SP	5.56	18.0%	12.4%	4.4%	.294	7.13	16.7%	3.8%	80	+1.57	5.56	177	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	5.0	99	21.0%	11.9%	1.18	4.91
Gerry Arrigo ('61-'70, 1 WAR*)	3.1	103	20.0%*	11.6%*	1.17*	4.98*
Charlie Puleo ('81-'89, 1 WAR*)	3.2	90	18.5%*	11.5%*	1.22*	4.73*
David West ('88-'98, 1 WAR*)	2.8	71	22.1%*	12.1%*	1.28*	4.79*
Jonathan Sánchez ('13)	3.9	112	22.8%	12.5%	1.04	4.70
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Robert Person ('03)	4.5	128	19.8%	11.2%	1.29	4.64