Alex Lamu

P DSL Rangers Red

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Rangers R…	11	6	17	8.47	4.86	20.8%	19.8%	—	K 14.2% · BB 24.7% · FIP 5.84
2027PROJ	19	MLB—	2	2	10	5.83	5.83	20.8%	19.6%	-0.1
2028PROJ49% MLB	20	MLB—	2	2	10	5.48	5.35	21.5%	16.5%	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsChris Viall (age 20) · Jace Beck (age 21) · Keegan Zinn (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144136vR 128

ERA5.83

FIP5.83

K%20.8%

BB%19.6%

K-BB%1.3%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

K†5050

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)
2026	18	ROK MLE	DSL Rangers Red	11	6	17	96	20	19	1	55%	1.5	14.2%	24.7%	-10.6%	1.5%	8.47	5.84	—
2026	18	ROK MLE	DSL Rangers Red	11	6	17	96	20	19	1	55%	1.5	14.2%	24.7%	-10.6%	1.5%	8.47	5.84	—
2026	18	ROK RAW	DSL Rangers Red	11	6	17	96	20	19	1	55%	1.5	20.8%	19.8%	1.0%	1.0%	8.47	4.86	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	2	2	10	42	9	8	1	100%	5.0	20.8%	19.6%	1.3%	3.0%	5.83	5.83	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	4	4	20	84	18	14	2	100%	5.0	21.5%	16.5%	5.0%	2.9%	5.48	5.35	-0.1
2028	20	MLB CTX	—	2	2	10	42	9	7	1	100%	5.0	21.5%	16.5%	5.0%	2.9%	5.48	5.35	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	9	7	1	100%	4.9	21.5%	16.5%	5.0%	2.9%	5.48	4.97	-0.0
/ 200 IP	—	RAW		43	43	200	844	183	142	20	100%	4.6	21.5%	16.5%	5.0%	2.9%	5.48	4.97	-0.2
Career	—	MLE		11	6	17	96	14	24	1	55%	1.5	14.2%	24.7%	-10.6%	1.5%	8.47	5.84	-0.1
/ 200 IP	—	MLE		129	71	200	1129	160	279	16	55%	1.5	14.2%	24.7%	-10.6%	1.5%	8.47	5.84	-1.0

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
Alex Lamu (OGILVIE)	—	—	5.83	20.8%	19.6%	3.0%	—	5.35	21.5%	5.0%	20	-0.48	—	—	—
Chris Viall R 2016 · 5.86 FIP	20	SP-	5.86	18.9%	21.9%	2.9%	.314	5.06	21.3%	5.8%	88	-0.80	4.89	108	85
Jace Beck R 2021 · 5.13 FIP	21	SP-	5.13	21.1%	23.7%	1.5%	.347	5.32	25.7%	2.8%	50	+0.19	4.03	216	81
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	80
Ben Peoples R 2019 · 6.28 FIP	18	SW	6.28	21.8%	27.5%	2.8%	.227	4.51	23.0%	9.1%	103	-1.77	3.56	365	79
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	79
Trayson Kubo R 2019 · 5.01 FIP	21	SW	5.01	19.8%	15.6%	2.9%	.450	4.82	17.7%	1.4%	66	-0.19	4.48	107	79
Miguel Ullola R 2021 · 4.90 FIP	19	SP-	4.90	24.4%	24.8%	1.3%	.239	4.54	24.8%	7.6%	290	-0.36	3.87	511	79
Cesar Espinal R 2024 · 5.75 FIP	18	SW	5.75	16.8%	25.5%	1.5%	.300	6.38	15.7%	-1.8%	36	+0.63	4.28	109	78
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	77
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	77
Yosber Sanchez R 2019 · 5.58 FIP	18	SP-	5.58	14.6%	14.9%	3.3%	.315	4.61	20.2%	-5.2%	13	-0.97	3.21	200	76
Wilian Bormie R 2023 · 5.84 FIP	22	SP-	5.84	21.6%	20.4%	3.6%	.275	4.13	23.2%	9.3%	203	-1.71	3.51	226	76
Alex Makarewich R 2024 · 6.15 FIP	22	SP-	6.15	19.7%	26.7%	2.4%	.425	5.15	26.4%	-3.3%	83	-1.00	4.26	110	76
Denny Larrondo R 2021 · 4.77 FIP	19	SW	4.77	22.7%	17.5%	2.5%	.293	5.26	18.1%	-0.4%	155	+0.49	4.48	293	76
Wellington Aracena R 2024 · 5.43 FIP	19	SP-	5.43	18.9%	24.7%	1.5%	.343	3.94	20.0%	4.8%	196	-1.49	3.20	304	76
Sunayro Martina R 2023 · 4.79 FIP	19	SP-	4.79	17.6%	21.9%	0.7%	.247	5.46	14.4%	-4.0%	90	+0.67	4.57	118	75
Jesus Rivero R 2022 · 4.75 FIP	19	SW	4.75	21.6%	23.3%	1.0%	.254	4.21	21.8%	2.6%	87	-0.54	4.09	146	75
Yoniel Curet R 2022 · 5.18 FIP	19	SP-	5.18	21.8%	17.5%	3.1%	.205	3.80	23.9%	8.1%	273	-1.38	3.40	394	75
Jesus Tillero R 2024 · 5.94 FIP	18	SP-	5.94	13.3%	18.0%	3.1%	.274	5.23	14.8%	3.8%	129	-0.71	2.26	180	75
Junior Mieses R 2019 · 4.87 FIP	19	SP-	4.87	19.9%	19.2%	1.9%	.296	6.10	18.9%	-1.2%	134	+1.23	4.87	236	74