Trent Harris — OGILVIE

Trent Harris P Sacramento River Cats

Age 27 RHP 6'1" / 206 lbs AAA peak 0.4 · 2027

2026 ROS PROJECTION56 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10597vR 89

ERA3.77

FIP3.77

K%24.0%

BB%8.5%

K-BB%15.5%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 62 IP

Grades · Statcast · Contract

Scouting Grades

OFP—40

STUF4555

CTRL5550

CMD5050

K†5560

Statcast Percentiles

FB Velo

p3793.6

Whiff%

p6026.8%

p9031.3%

xwOBA vs

p900.229

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 + 2026 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 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	22.3%	7.5%	14.8%	2.9%	4.40	3.74	—
2025	26	MIX MLE	2 levels	43	0	57	240	65	19	6	0%	1.3	22.3%	7.5%	14.8%	2.9%	4.40	3.74	—
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	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			14	0	16	67	21	7	0	0%	1.1	31.3%	10.4%	20.9%	0.0%	2.81	1.79	+0.5
▸ 2026 season
YTD	27	MLB MLE	San Francisco Giants	43	3	56	244	73	25	4	7%	1.3	26.3%	9.5%	16.8%	1.8%	3.04	3.07	—
YTD	27	MLB MLE	San Francisco Giants	43	3	56	244	73	25	4	7%	1.3	26.3%	9.5%	16.8%	1.8%	3.04	3.07	—
▸ 2026 season — so far · projected rest · full
2026	27	AAA RAW	SF	29	3	40	177	52	18	4	10%	1.4	29.4%	10.2%	19.2%	2.3%	3.12	3.15	—
2026	27	MLB RAW	SF	14	0	16	67	21	7	0	0%	1.1	31.3%	10.4%	20.9%	0.0%	2.81	1.78	+0.5
SO FAR	27	MLB RAW	SF	14	0	16	67	21	7	0	0%	1.1	31.3%	10.4%	20.9%	0.0%	2.81	1.78	+0.5
ROS	27	MLB MLE	SF	6	0	6	25	6	2	1	0%	1.0	24.0%	8.5%	15.5%	2.9%	3.77	3.77	+0.1
ROS	27	MLB CTX	SF	6	0	6	25	6	2	1	0%	1.0	24.0%	8.5%	15.5%	2.9%	3.77	3.77	+0.1
2026 TOT	27	MLB MLE	SF	—	—	62	269	79	27	5	—	—	29.4%	10.1%	19.3%	1.8%	3.10	3.14	+1.1
FULL	27	MLB A+C	SF	—	—	22	92	79	27	5	—	—	85.6%	29.4%	56.2%	5.1%	8.84	2.41	+0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	28	MLB MLE	SF	65	0	68	287	70	25	8	0%	1.0	24.4%	8.9%	15.6%	2.8%	4.03	4.06	+0.4
2028	29	MLB MLE	SF	62	0	65	274	66	25	8	0%	1.0	24.1%	9.1%	15.0%	2.9%	4.14	4.21	+0.3
2027	28	MLB CTX	SF	62	0	65	274	67	24	8	0%	1.0	24.4%	8.9%	15.6%	2.8%	4.03	4.06	+0.4
2028	29	MLB CTX	SF	59	0	62	262	63	24	8	0%	1.1	24.1%	9.1%	15.0%	2.9%	4.14	4.21	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		140	0	148	624	156	57	16	0%	1.1	25.0%	9.1%	15.9%	2.5%	3.93	3.54	+1.8
/ 200 IP	—	RAW		189	0	200	844	211	77	22	0%	1.1	25.0%	9.1%	15.9%	2.5%	3.93	3.54	+2.4
Career	—	MLE		137	3	214	869	232	73	19	2%	1.6	26.7%	8.4%	18.3%	2.2%	2.69	3.12	+1.2
/ 200 IP	—	MLE		128	3	200	811	217	68	18	2%	1.6	26.7%	8.4%	18.3%	2.2%	2.69	3.12	+1.6

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)	—	—	4.21	23.2%	8.3%	3.0%	—	4.13	24.3%	15.3%	133	-0.08	—	—	—
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	93
Austin Ross R 2016 · 3.81 FIP	27	SU	3.81	22.9%	8.0%	3.0%	.295	3.67	12.4%	5.2%	127	-0.14	3.16	269	92
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	90
Seth Simmons R 2015 · 3.07 FIP	27	SU	3.07	23.8%	9.7%	1.4%	.277	4.87	16.6%	7.6%	175	+1.80	3.07	251	88
Brad Boxberger R 2015 · 3.93 FIP	27	SU	3.93	27.3%	10.0%	3.4%	.280	4.09	28.5%	17.2%	107	+0.16	3.01	363	88
Taylor Williams R 2018 · 3.52 FIP	27	SU	3.52	24.2%	8.9%	2.4%	.309	4.35	22.5%	12.7%	108	+0.83	2.51	309	87
Danny Farquhar R 2015 · 3.85 FIP	28	SU	3.85	22.4%	6.8%	3.2%	.324	3.84	22.0%	12.8%	135	-0.01	3.62	224	86
Blake Treinen R 2015 · 3.10 FIP	27	SU	3.10	23.2%	9.3%	1.4%	.314	2.62	26.4%	19.2%	223	-0.48	1.53	547	86
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	85
Jaye Chapman R 2015 · 3.32 FIP	28	SU	3.32	21.6%	8.5%	1.8%	.276	4.08	20.3%	11.3%	85	+0.76	3.25	150	85
Spencer Patton R 2015 · 3.47 FIP	27	SU	3.47	26.8%	9.6%	2.6%	.295	2.79	30.3%	18.1%	57	-0.68	2.79	239	85
Brad Brach R 2015 · 3.22 FIP	29	SU	3.22	27.5%	10.8%	1.9%	.259	3.13	25.6%	17.1%	210	-0.09	2.69	410	85
Jason Stoffel R 2016 · 3.49 FIP	27	SU	3.49	27.2%	8.0%	3.0%	.293	—	—	—	—	—	3.49	103	84
Blake Smith R 2015 · 3.17 FIP	27	SU	3.17	23.3%	10.5%	1.3%	.290	3.59	22.4%	13.8%	71	+0.42	3.17	124	84
Ryan Garton R 2017 · 3.67 FIP	27	SU	3.67	25.2%	11.3%	2.3%	.252	4.15	23.5%	10.8%	108	+0.48	3.14	307	84
Cole Sulser R 2017 · 3.52 FIP	27	SU	3.52	22.6%	10.2%	1.9%	.321	2.85	28.2%	18.4%	140	-0.67	2.39	547	84
Steve Geltz R 2015 · 3.95 FIP	27	SU	3.95	22.7%	8.6%	3.1%	.209	4.90	22.2%	12.0%	89	+0.95	3.57	157	83
Daniel Hudson R 2015 · 3.35 FIP	28	SU	3.35	24.5%	7.9%	2.4%	.302	3.78	22.8%	13.6%	168	+0.43	1.68	468	83
Justin Grimm R 2016 · 3.11 FIP	27	SU	3.11	28.9%	9.3%	2.3%	.313	4.33	25.2%	13.4%	170	+1.22	3.00	335	83
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	83

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	68	23.9%	8.7%	1.12	4.13
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47
Archie Bradley ('21)	2.2	74	23.2%	9.8%	0.85	3.93
Adbert Alzolay ('23)	1.1	70	26.1%	7.0%	1.32	3.84