Luis De La Torre

Luis De La Torre P Eugene Emeralds

Age 22 LHP 5'11" / 209 lbs A+ Svc 0.0 · Ctrl thru 2035 peak 2.0 · 2030

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 52 proj IP

wRC+ AGAINSTvL 98106vR 114

ERA4.24

FIP4.24

K%24.8%

BB%10.9%

K-BB%13.9%

ROS IP52

Value2026 · WAR

Runs saved vs league avg · 52 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$44M ctrl surplus

Grades · Contract

Scouting Grades

OFP—45

STUF—45

CTRL—45

K†6060

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+1.1	$6M	+$6M
2031	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2032	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2033	Arb-1	$3M	+0.8	$2M	+$0.4M
2034	Arb-2	$4M	+0.6	$1M	+$0.0M (cut)
2035	Arb-3	$4M	+0.4	$0.8M	+$0.0M (cut)
Totals		$6M		$22M	+$16M

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	19	ROK MLE	DSL Giants Black	5	0	9	41	12	7	0	0%	1.7	29.3%	17.1%	12.2%	0.0%	7.27	2.79	—
2023	19	ROK MLE	DSL Giants Black	5	0	9	41	12	7	0	0%	1.7	29.3%	17.1%	12.2%	0.0%	7.27	2.79	—
2023	19	ROK RAW	DSL Giants Black	5	0	9	41	12	7	0	0%	1.7	29.3%	17.1%	12.2%	0.0%	7.27	2.75	—
2024	20	ROK MLE	DSL Giants Black	14	1	29	122	39	11	0	7%	2.0	21.7%	11.3%	10.5%	0.0%	3.14	2.69	—
2024	20	ROK MLE	DSL Giants Black	14	1	29	122	39	11	0	7%	2.0	21.7%	11.3%	10.5%	0.0%	3.14	2.69	—
2024	20	ROK RAW	DSL Giants Black	14	1	29	122	39	11	0	7%	2.0	32.0%	9.0%	23.0%	0.0%	3.14	1.53	—
2025	21	MIX MLE	2 levels	18	15	74	302	109	27	2	83%	4.1	25.5%	10.9%	14.6%	0.8%	2.78	2.78	—
2025	21	MIX MLE	2 levels	18	15	74	302	109	27	2	83%	4.1	25.5%	10.9%	14.6%	0.8%	2.78	2.78	—
2025	21	MIX RAW	2 levels	18	15	74	302	109	27	2	83%	4.1	36.1%	8.9%	27.2%	0.7%	2.78	1.61	—
▸ 2026 season
YTD	22	A+ MLE	Eugene Emeralds	25	25	101	464	126	82	12	100%	4.0	20.9%	20.3%	0.6%	3.2%	5.81	5.68	—
YTD	22	A+ MLE	Eugene Emeralds	25	25	101	464	126	82	12	100%	4.0	20.9%	20.3%	0.6%	3.2%	5.81	5.68	—
▸ 2026 season — so far · projected rest · full
2026	22	A+ RAW	SF	25	25	101	464	126	82	12	100%	4.0	27.2%	17.7%	9.5%	2.6%	5.81	4.46	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	SF	19	19	102	432	109	43	12	100%	5.4	25.2%	9.9%	15.3%	2.7%	4.14	4.07	+1.0
2028	24	MLB MLE	SF	19	19	105	443	113	41	12	100%	5.5	25.6%	9.3%	16.3%	2.7%	4.04	3.96	+1.2
2029	25	MLB MLE	SF	18	18	106	448	116	40	12	100%	5.9	25.8%	8.9%	16.8%	2.7%	3.96	3.90	+1.3
2030	26	MLB MLE	SF	18	18	106	448	116	40	12	100%	5.9	25.9%	8.9%	17.0%	2.7%	3.92	3.89	+1.3
2031	27	MLB MLE	SF	17	17	105	442	114	40	12	100%	6.2	25.9%	9.0%	16.9%	2.7%	3.92	3.93	+1.2
2032	28	MLB MLE	SF	17	17	102	429	110	39	12	100%	6.0	25.7%	9.1%	16.6%	2.8%	3.98	4.01	+1.1
2033	29	MLB MLE	SF	16	16	97	409	104	38	12	100%	6.1	25.5%	9.3%	16.2%	3.0%	4.08	4.14	+0.9
2034	30	MLB MLE	SF	15	15	91	385	97	37	12	100%	6.1	25.1%	9.6%	15.5%	3.2%	4.22	4.32	+0.6
2035	31	MLB MLE	SF	14	14	85	359	89	36	12	100%	6.1	24.8%	10.0%	14.8%	3.4%	4.40	4.52	+0.4
2036	32	MLB MLE	SF	13	13	79	332	87	32	12	100%	6.0	26.3%	9.6%	16.7%	3.7%	4.45	4.48	+0.4
2037	33	MLB MLE	SF	12	12	72	304	79	31	12	100%	6.0	25.8%	10.0%	15.8%	3.9%	4.62	4.73	+0.1
2038	34	MLB MLE	SF	11	11	66	277	70	29	12	100%	6.0	25.2%	10.5%	14.7%	4.2%	4.85	5.00	-0.1
2027	23	MLB CTX	SF	10	10	51	215	54	21	5	100%	5.1	25.2%	9.9%	15.3%	2.5%	4.03	3.96	+0.5
2028	24	MLB CTX	SF	13	13	73	308	79	29	8	100%	5.6	25.6%	9.3%	16.3%	2.5%	3.93	3.85	+0.8
2029	25	MLB CTX	SF	15	15	86	363	94	32	9	100%	5.7	25.8%	8.9%	16.8%	2.5%	3.85	3.79	+1.0
2030	26	MLB CTX	SF	16	16	93	393	102	35	10	100%	5.8	25.9%	8.9%	17.0%	2.5%	3.81	3.78	+1.1
2031	27	MLB CTX	SF	16	16	94	397	103	36	10	100%	5.9	25.9%	9.0%	16.9%	2.5%	3.81	3.82	+1.1
2032	28	MLB CTX	SF	16	16	93	393	101	36	10	100%	5.8	25.7%	9.1%	16.6%	2.6%	3.86	3.89	+1.0
2033	29	MLB CTX	SF	15	15	90	380	97	35	10	100%	6.0	25.5%	9.3%	16.2%	2.8%	3.96	4.02	+0.8
2034	30	MLB CTX	SF	14	14	85	359	90	35	11	100%	6.1	25.1%	9.6%	15.5%	2.9%	4.09	4.19	+0.6
2035	31	MLB CTX	SF	14	14	81	342	85	34	11	100%	5.8	24.8%	10.0%	14.8%	3.1%	4.26	4.38	+0.4
2036	32	MLB CTX	SF	12	12	75	317	83	30	11	100%	6.2	26.3%	9.6%	16.7%	3.4%	4.30	4.33	+0.4
2037	33	MLB CTX	SF	11	11	68	287	74	29	10	100%	6.2	25.8%	10.0%	15.8%	3.6%	4.46	4.57	+0.1
2038	34	MLB CTX	SF	10	10	59	249	63	26	10	100%	5.9	25.2%	10.5%	14.7%	3.9%	4.68	4.83	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		161	161	950	4010	1026	379	115	100%	5.9	25.6%	9.5%	16.1%	2.9%	4.06	3.71	+13.7
/ 200 IP	—	RAW		34	34	200	844	216	80	24	100%	5.9	25.6%	9.5%	16.1%	2.9%	4.06	3.71	+2.9
Career	—	MLE		62	41	212	929	212	148	17	66%	3.4	22.9%	15.9%	6.9%	1.9%	4.45	4.22	+9.3
/ 200 IP	—	MLE		58	39	200	875	200	139	16	66%	3.4	22.9%	15.9%	6.9%	1.9%	4.45	4.22	+1.7

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
Luis De La Torre (OGILVIE)	—	—	4.24	24.8%	10.9%	2.7%	—	3.98	25.5%	16.2%	313	-0.26	—	—	—
Jimmy Robbins L 2022 · 3.85 FIP	24	SP-	3.85	23.3%	11.3%	2.3%	.286	4.83	17.9%	2.7%	99	+0.98	3.85	176	86
Adam Seminaris L 2021 · 3.94 FIP	22	SP	3.94	22.7%	8.3%	3.1%	.357	3.75	18.2%	9.3%	230	-0.19	3.00	577	81
A.J. Block L 2021 · 3.72 FIP	23	SP-	3.72	22.8%	10.0%	2.3%	.262	5.74	20.1%	8.4%	51	+2.02	3.65	203	80
T.J. Sikkema L 2022 · 4.55 FIP	24	SP	4.55	21.9%	9.0%	3.9%	.298	4.54	16.8%	7.5%	231	-0.01	3.57	300	80
Moises Brito L 2023 · 3.16 FIP	21	SP	3.16	22.9%	8.7%	1.6%	.250	7.76	18.0%	-2.5%	21	+4.60	2.53	106	80
Bryan Sammons L 2017 · 3.58 FIP	22	SP-	3.58	22.7%	10.5%	1.9%	.275	3.96	18.4%	8.4%	228	+0.38	3.58	688	79
Evan Lee L 2021 · 3.84 FIP	24	SP	3.84	24.2%	11.1%	2.5%	.333	4.49	21.0%	2.7%	52	+0.65	3.82	129	79
Rylan Kaufman L 2021 · 4.60 FIP	22	SP	4.60	19.3%	12.1%	2.9%	.305	4.75	18.9%	4.5%	131	+0.15	4.01	212	79
Sam Weatherly L 2021 · 4.07 FIP	22	SP	4.07	24.0%	12.8%	2.5%	.323	4.14	21.9%	8.9%	41	+0.07	4.07	209	79
Anthony Veneziano L 2021 · 4.27 FIP	23	SP	4.27	24.9%	10.8%	3.5%	.298	4.97	18.2%	8.3%	358	+0.70	3.57	534	78
Drew Parrish L 2021 · 3.47 FIP	23	SP-	3.47	24.1%	7.9%	2.6%	.261	5.91	16.6%	6.8%	354	+2.44	3.47	522	78
Nick Zwack L 2022 · 3.16 FIP	23	SP	3.16	23.9%	9.3%	1.6%	.299	5.73	18.2%	8.6%	143	+2.57	3.16	289	78
Robby Ahlstrom L 2022 · 4.62 FIP	23	SP-	4.62	20.1%	9.0%	3.8%	.349	4.06	21.6%	8.6%	175	-0.56	3.74	330	78
Matt Mikulski L 2022 · 4.92 FIP	23	SP-	4.92	19.4%	10.0%	4.0%	.360	6.03	16.3%	-2.8%	144	+1.11	4.92	223	77
Brent Killam L 2021 · 4.29 FIP	23	SP	4.29	29.1%	14.5%	3.3%	.284	6.64	18.4%	9.6%	80	+2.35	4.29	121	77
Hogan Harris L 2019 · 3.84 FIP	22	SP	3.84	20.5%	10.6%	2.1%	.235	3.71	27.4%	12.7%	74	-0.13	3.11	495	77
Jake Bennett L 2023 · 3.41 FIP	22	SP	3.41	21.2%	7.2%	2.2%	.339	3.36	19.1%	13.6%	214	-0.05	3.32	277	76
Brent Headrick L 2021 · 4.36 FIP	23	SP	4.36	22.9%	14.0%	2.6%	.383	4.58	23.7%	16.7%	227	+0.22	2.21	409	76
Brian Holmes L 2015 · 4.32 FIP	24	SP-	4.32	21.0%	9.9%	3.2%	.333	4.78	17.3%	8.0%	104	+0.46	3.60	205	76
Jordan Wicks L 2022 · 3.83 FIP	22	SP	3.83	23.5%	7.9%	3.1%	.329	4.15	20.6%	12.8%	278	+0.32	2.97	469	76

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	5.8	90	25.5%	9.5%	1.18	4.18
Vince Velasquez ('23)	3.8	85	24.9%	9.3%	1.48	4.88
Daniel Norris ('22)	2.8	70	21.7%	8.5%	1.37	4.70
Buck Farmer ('24)	2.5	50	21.6%	10.5%	1.23	4.59
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Jon Gray ('24)	6.1	122	23.4%	7.8%	1.15	4.45
Ross Stripling ('24)	4.2	94	20.9%	5.6%	1.32	4.17