Trent Harris

P Sacramento River Cats

Age 28 RHP 6'1" / 206 lbs AAA peak 0.5 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX3 levels	36	0	80	1.81	2.38	34.5%	8.2%	—	K 26.9% · BB 9.5% · FIP 3.45
2025	26	MIX2 levels	43	0	57	4.40	3.19	27.1%	7.9%	—	K 22.8% · BB 7.5% · FIP 3.70
2026	27	MIX2 levels	51	3	64	2.83	2.82	29.2%	9.2%	1.3	K 26.5% · BB 8.6% · FIP 3.06
2027PROJ	28	MLBSF	62	0	65	3.80	3.77	26.2%	8.3%	0.6
2028PROJ61% MLB	29	MLBSF	36	0	38	3.93	3.98	25.3%	8.6%	0.3
2029PROJ72% MLB	30	MLBSF	40	0	42	4.11	4.21	24.5%	9.0%	0.2

Last 3 seasons WAR 1.3 · Next 3 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs90

K%85

FB Velo41

Whiff%37

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 90%

CompsMatt Ramsey (age 28) · Ryan Brasier (age 28) · Scott Atchison (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10597vR 89

ERA3.80

FIP3.77

K%26.2%

BB%8.3%

K-BB%17.9%

Proj IP65

Value2027 · WAR

Runs saved vs league avg · 65 IP

Grades · Statcast · Contract

Scouting Grades

OFP—40

STUF4555

CTRL5550

CMD5050

K†6060

Statcast Percentiles

FB Velo

p4193.9

Whiff%

p3723.4%

p8528.7%

xwOBA vs

p900.241

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 industry-standard fWAR.

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	24	MIX MLE	2 levels	15	0	21	81	33	3	0	0%	1.4	40.7%	3.7%	37.0%	0.0%	0.43	0.13	—
2023	24	MIX RAW	2 levels	15	0	21	81	33	3	0	0%	1.4	40.7%	3.7%	37.0%	0.0%	0.43	0.39	—
2024	25	MIX MLE	3 levels	36	0	80	304	105	25	6	0%	2.2	26.9%	9.5%	17.3%	2.6%	1.81	3.45	—
2024	25	MIX MLE	3 levels	36	0	80	304	105	25	6	0%	2.2	26.9%	9.5%	17.3%	2.6%	1.81	3.45	—
2024	25	MIX RAW	3 levels	36	0	80	304	105	25	6	0%	2.2	34.5%	8.2%	26.3%	2.0%	1.81	2.38	—
2025	26	MIX MLE	2 levels	43	0	57	240	65	19	6	0%	1.3	22.8%	7.5%	15.3%	2.9%	4.40	3.70	—
2025	26	MIX MLE	2 levels	43	0	57	240	65	19	6	0%	1.3	22.8%	7.5%	15.3%	2.9%	4.40	3.70	—
2025	26	MIX RAW	2 levels	43	0	57	240	65	19	6	0%	1.3	27.1%	7.9%	19.2%	2.5%	4.40	3.19	—
2026	27	MIX MLE	2 levels	51	3	64	271	79	25	5	6%	1.2	26.5%	8.6%	17.9%	2.0%	2.83	3.06	+1.1
2026	27	MIX MLE	2 levels	51	3	64	271	79	25	5	6%	1.2	26.5%	8.6%	17.9%	2.0%	2.83	3.06	+1.1
2026	27	MIX RAW	2 levels	51	3	64	271	79	25	5	6%	1.2	29.2%	9.2%	19.9%	1.8%	2.83	2.82	+1.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			22	0	23	94	27	7	1	0%	1.1	28.7%	7.4%	21.3%	1.1%	2.31	2.24	+0.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SF	62	0	65	274	72	23	7	0%	1.0	26.2%	8.3%	17.9%	2.6%	3.80	3.77	+0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SF	59	0	62	263	67	23	7	0%	1.1	25.3%	8.6%	16.7%	2.8%	3.93	3.98	+0.4
2029	30	MLB MLE	SF	56	0	59	248	61	22	8	0%	1.0	24.5%	9.0%	15.5%	3.0%	4.11	4.21	+0.2
2028	29	MLB CTX	SF	36	0	38	160	41	14	5	0%	1.1	25.3%	8.6%	16.7%	2.8%	3.93	3.98	+0.3
2029	30	MLB CTX	SF	40	0	42	177	43	16	5	0%	1.1	24.5%	9.0%	15.5%	3.0%	4.11	4.21	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		98	0	103	431	111	37	11	0%	1.1	25.7%	8.5%	17.2%	2.5%	3.64	3.39	+1.4
/ 200 IP	—	RAW		190	0	200	836	215	72	21	0%	1.1	25.7%	8.5%	17.2%	2.5%	3.64	3.39	+2.8
Career	—	MLE		145	3	222	896	241	73	20	2%	1.5	26.9%	8.2%	18.7%	2.3%	2.64	3.10	+1.3
/ 200 IP	—	MLE		131	3	200	808	218	66	18	2%	1.5	26.9%	8.2%	18.7%	2.3%	2.64	3.10	+1.8

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
Trent Harris (OGILVIE)	—	—	3.77	26.2%	8.3%	2.6%	—	4.09	24.9%	16.1%	121	+0.32	—	—	—
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	89
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	86
Scott Atchison R 2004 · 3.61 FIP	28	SU	3.61	27.1%	9.0%	3.0%	.309	4.55	19.1%	11.5%	31	+0.94	2.52	340	85
Jason Motte R 2010 · 3.24 FIP	28	SU	3.24	26.0%	7.2%	2.6%	.269	2.69	27.3%	21.8%	140	-0.55	2.22	387	85
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	83
Michael Flynn R 2024 · 3.99 FIP	27	SU	3.99	27.6%	8.3%	3.9%	.277	4.68	16.2%	3.7%	50	+0.69	3.89	168	82
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	82
Dayan Díaz R 2017 · 3.45 FIP	28	SU	3.45	25.1%	8.7%	2.5%	.358	3.96	29.4%	19.3%	16	+0.51	3.08	205	82
Josh Lueke R 2013 · 4.09 FIP	28	SU	4.09	25.3%	11.1%	3.1%	.333	3.28	24.6%	20.9%	90	-0.81	2.29	191	81
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	81
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	81
Rafael Betancourt R 2003 · 3.81 FIP	28	SU	3.81	23.4%	7.1%	3.2%	.216	2.84	25.0%	20.8%	191	-0.97	1.79	686	81
Andrew Robinson R 2016 · 3.19 FIP	28	SU	3.19	22.2%	7.9%	1.8%	.247	4.32	23.4%	14.6%	39	+1.13	3.19	160	81
Simon Castro R 2016 · 3.01 FIP	28	SU	3.01	22.7%	5.6%	2.0%	.313	3.99	28.3%	18.0%	75	+0.98	3.01	185	81
Jason Stoffel R 2016 · 3.49 FIP	27	SU	3.49	27.2%	8.0%	3.0%	.293	—	—	—	—	—	3.49	103	81
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	80
Sam Wolff R 2019 · 2.66 FIP	28	SU	2.66	24.8%	8.8%	1.0%	.289	3.23	26.0%	17.4%	22	+0.57	2.66	178	80
Matt Pushard R 2024 · 3.87 FIP	26	SU	3.87	24.1%	8.9%	3.0%	.242	3.29	22.2%	14.0%	115	-0.58	2.84	220	80
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	80
Leonel Campos R 2015 · 2.62 FIP	28	SU	2.62	30.1%	11.1%	1.2%	.259	3.63	25.2%	12.2%	118	+1.01	2.62	168	80

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.0	52	25.7%	8.5%	1.02	3.76
Danny Farquhar ('18)	1.4	54	26.9%	9.2%	0.99	3.93
Josh Fields ('18)	1.4	46	27.5%	8.0%	0.98	3.71
Ryan Tepera ('23)	1.8	52	24.3%	8.8%	1.13	3.62
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Carlos Diaz ('82-'86, 2 WAR*)	1.3	52	25.1%*	8.7%*	0.91*	3.84*