Cristopher Aranguren

P ACL Cubs

Age 21 RHP 6'3" / 200 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL Cubs Blue	12	9	34	6.09	2.98	14.8%	9.0%	—	K 10.1% · BB 11.3% · FIP 3.68
2026	20	MIX2 levels	13	3	29	8.16	5.37	23.2%	15.5%	—	K 15.7% · BB 19.2% · FIP 6.18
2027PROJ	21	MLBCHC	15	0	16	5.36	5.36	19.1%	14.7%	-0.1
2028PROJ49% MLB	22	MLBCHC	15	0	16	5.07	4.94	20.7%	12.8%	-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 99%

CompsJuan Mendez (age 22) · Tanner Cooper (age 21) · Kobe Robinson (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.36

FIP5.36

K%19.1%

BB%14.7%

K-BB%4.3%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

K†4550

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)
2025	19	ROK MLE	DSL Cubs Blue	12	9	34	155	23	14	0	75%	2.8	10.1%	11.3%	-1.2%	0.0%	6.09	3.68	—
2025	19	ROK MLE	DSL Cubs Blue	12	9	34	155	23	14	0	75%	2.8	10.1%	11.3%	-1.2%	0.0%	6.09	3.68	—
2025	19	ROK RAW	DSL Cubs Blue	12	9	34	155	23	14	0	75%	2.8	14.8%	9.0%	5.8%	0.0%	6.09	2.98	—
2026	20	MIX MLE	2 levels	13	3	29	142	33	22	5	23%	2.2	15.7%	19.2%	-3.5%	3.6%	8.16	6.18	—
2026	20	MIX MLE	2 levels	13	3	29	142	33	22	5	23%	2.2	15.7%	19.2%	-3.5%	3.6%	8.16	6.18	—
2026	20	MIX RAW	2 levels	13	3	29	142	33	22	5	23%	2.2	23.2%	15.5%	7.7%	3.5%	8.16	5.37	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	CHC	15	0	16	68	13	10	2	0%	1.1	19.1%	14.7%	4.3%	3.0%	5.36	5.36	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	CHC	31	0	32	136	28	17	4	0%	1.0	20.7%	12.8%	7.9%	2.9%	5.07	4.94	-0.1
2028	22	MLB CTX	CHC	15	0	16	68	14	9	2	0%	1.1	20.7%	12.8%	7.9%	2.9%	5.07	4.94	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		15	0	16	67	14	8	2	0%	1.1	20.7%	12.8%	7.9%	2.9%	5.07	4.56	-0.0
/ 200 IP	—	RAW		190	0	200	844	177	101	25	0%	1.1	20.7%	12.8%	7.9%	2.9%	5.07	4.56	-0.0
Career	—	MLE		25	12	63	297	38	45	5	48%	2.5	12.8%	15.1%	-2.3%	1.7%	7.04	4.87	-0.1
/ 200 IP	—	MLE		80	38	200	948	121	143	16	48%	2.5	12.8%	15.1%	-2.3%	1.7%	7.04	4.87	-0.9

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
Cristopher Aranguren (OGILVIE)	—	—	5.36	19.1%	14.7%	3.0%	—	4.94	20.7%	7.9%	32	-0.42	—	—	—
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	90
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	86
Kobe Robinson R 2022 · 4.49 FIP	21	SW	4.49	23.2%	14.3%	2.8%	.296	3.44	18.8%	4.9%	84	-1.05	2.98	107	83
Yunior Montero R 2015 · 4.82 FIP	22	SW	4.82	16.9%	14.1%	2.5%	.276	4.58	21.5%	6.2%	91	-0.24	3.65	127	83
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	83
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	82
Juan Perez R 2016 · 5.39 FIP	21	SW	5.39	15.4%	14.1%	3.3%	.321	4.52	10.8%	0.0%	56	-0.87	4.52	113	82
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	81
Luis Rujano R 2024 · 4.54 FIP	21	SW	4.54	17.0%	12.3%	2.4%	.361	4.80	17.9%	-0.8%	97	+0.26	4.54	203	81
Nestor Lorant R 2023 · 5.53 FIP	21	SW	5.53	18.7%	18.2%	3.1%	.280	3.86	20.5%	11.3%	249	-1.67	2.73	373	81
Seth McClung R 2003 · 5.63 FIP	22	SW	5.63	15.0%	14.4%	3.6%	.241	5.29	15.3%	2.8%	212	-0.34	2.52	430	81
Engel Daniel Peralta R 2024 · 5.28 FIP	20	SW	5.28	17.7%	15.0%	3.2%	.300	5.89	16.6%	1.2%	33	+0.61	3.34	129	80
Trent Fennell R 2018 · 4.48 FIP	22	SP-	4.48	14.5%	12.5%	1.9%	.317	4.46	20.9%	7.5%	89	-0.02	4.08	163	80
Sam Ryan R 2021 · 4.38 FIP	22	SW	4.38	16.4%	14.7%	1.5%	.328	3.85	13.7%	2.9%	49	-0.53	3.80	178	80
Lisandro Almonte R 2023 · 5.54 FIP	21	SP-	5.54	20.4%	20.7%	2.8%	.274	3.81	20.7%	12.2%	15	-1.73	3.81	128	80
Miguel Alfonseca R 2021 · 4.19 FIP	21	SP-	4.19	18.3%	12.1%	2.0%	.400	5.36	14.9%	-0.9%	92	+1.17	4.19	123	80
Josh White R 2023 · 5.12 FIP	22	SW	5.12	17.7%	13.9%	3.2%	.244	3.15	27.7%	17.2%	182	-1.97	1.84	247	79
Reynardo Cruz R 2022 · 5.44 FIP	20	SW	5.44	16.1%	18.2%	2.5%	.252	4.85	16.3%	-1.2%	66	-0.59	3.96	216	79
Michael Martinez R 2019 · 4.50 FIP	20	SW	4.50	15.7%	16.5%	1.2%	.303	5.67	20.7%	7.0%	18	+1.17	3.69	146	79
Luis Rosario R 2018 · 4.68 FIP	21	SP-	4.68	17.5%	11.8%	2.8%	.323	—	—	—	—	—	2.46	206	78