Santiago De Freitas

P DSL Tigers 1

Age 18 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Tigers 1	15	5	28	4.76	3.88	22.5%	14.0%	—	K 15.3% · BB 17.4% · FIP 5.21
2027PROJ	18	MLBDET	16	0	17	5.30	5.30	20.6%	15.2%	-0.1
2028PROJ49% MLB	19	MLBDET	12	0	13	5.06	4.96	21.3%	13.3%	-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%

CompsJeremy Peguero (age 19) · Spencer Giesting (age 21) · Cleiber Maldonado (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118126vR 134

ERA5.30

FIP5.30

K%20.6%

BB%15.2%

K-BB%5.4%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 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	17	ROK MLE	DSL Tigers 1	15	5	28	129	29	18	2	33%	1.9	15.3%	17.4%	-2.2%	2.2%	4.76	5.21	—
2026	17	ROK MLE	DSL Tigers 1	15	5	28	129	29	18	2	33%	1.9	15.3%	17.4%	-2.2%	2.2%	4.76	5.21	—
2026	17	ROK RAW	DSL Tigers 1	15	5	28	129	29	18	2	33%	1.9	22.5%	14.0%	8.5%	1.6%	4.76	3.88	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	DET	16	0	17	72	15	11	2	0%	1.1	20.6%	15.2%	5.4%	3.0%	5.30	5.30	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	DET	26	0	27	113	24	15	3	0%	1.0	21.3%	13.3%	8.0%	2.9%	5.06	4.96	-0.1
2028	19	MLB CTX	DET	12	0	13	55	12	7	2	0%	1.1	21.3%	13.3%	8.0%	2.9%	5.06	4.96	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	56	12	7	2	0%	1.0	21.3%	13.3%	8.0%	2.9%	5.06	4.58	-0.0
/ 200 IP	—	RAW		190	0	200	844	182	106	30	0%	1.1	21.3%	13.3%	8.0%	2.9%	5.06	4.58	-0.1
Career	—	MLE		15	5	28	129	20	22	3	33%	1.9	15.3%	17.4%	-2.2%	2.2%	4.76	5.21	-0.1
/ 200 IP	—	MLE		106	35	200	911	139	159	20	33%	1.9	15.3%	17.4%	-2.2%	2.2%	4.76	5.21	-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
Santiago De Freitas (OGILVIE)	—	—	5.30	20.6%	15.2%	3.0%	—	4.96	21.3%	8.0%	27	-0.34	—	—	—
Jeremy Peguero L 2021 · 4.63 FIP	19	SW	4.63	17.3%	17.2%	1.5%	.345	4.08	20.1%	0.6%	87	-0.55	3.52	126	79
Spencer Giesting L 2022 · 5.80 FIP	21	SP-	5.80	20.8%	16.6%	4.3%	.290	4.30	19.0%	8.0%	394	-1.50	3.58	460	76
Cleiber Maldonado L 2022 · 5.20 FIP	18	SW	5.20	13.5%	15.1%	2.4%	.267	3.42	14.8%	2.4%	57	-1.78	2.35	109	76
Wilker Reyes L 2019 · 4.90 FIP	17	SW	4.90	13.6%	15.9%	1.7%	.284	4.07	15.7%	5.0%	63	-0.83	3.76	237	75
Daniel Juarez L 2019 · 4.45 FIP	18	SU	4.45	24.9%	14.7%	2.9%	.389	4.24	26.5%	9.0%	68	-0.21	3.68	221	73
Brayan Mendoza L 2022 · 5.29 FIP	18	SP-	5.29	17.9%	15.0%	3.3%	.273	3.89	17.1%	6.3%	221	-1.40	3.59	398	71
Leonard Garcia L 2022 · 4.86 FIP	18	SW	4.86	18.0%	14.5%	2.6%	.404	4.85	18.3%	5.4%	204	-0.01	4.22	360	71
Nate Bertness L 2015 · 4.53 FIP	19	SW	4.53	13.9%	11.4%	2.1%	.396	4.65	14.2%	2.8%	291	+0.12	3.78	382	71
Yenfri Sosa L 2022 · 4.27 FIP	18	SU	4.27	17.5%	14.3%	1.5%	.354	4.38	22.5%	6.3%	91	+0.11	2.49	128	70
Alexander Beltre L 2021 · 6.42 FIP	18	SU	6.42	15.6%	18.2%	4.2%	.351	3.82	17.4%	6.1%	67	-2.60	2.75	106	70
Drew Harrington L 2016 · 4.18 FIP	21	SU	4.18	15.7%	9.6%	2.1%	.295	4.14	12.5%	5.4%	175	-0.04	3.17	190	69
Yeury Gervacio L 2018 · 4.88 FIP	19	SW	4.88	13.9%	13.8%	2.2%	.376	4.70	17.8%	4.2%	65	-0.18	4.10	184	69
Dominic Scheffler L 2024 · 5.54 FIP	20	SP-	5.54	19.7%	28.4%	0.9%	.348	5.19	16.1%	-4.1%	82	-0.35	4.59	110	69
Angel Padron L 2016 · 4.56 FIP	18	SU	4.56	16.4%	17.9%	1.1%	.247	4.14	17.0%	7.0%	222	-0.42	3.05	293	69
Braham Rosario L 2018 · 4.92 FIP	18	SW	4.92	13.7%	11.3%	2.8%	.248	2.97	16.7%	6.7%	59	-1.95	2.97	107	69
Felix Ramires L 2018 · 5.00 FIP	18	SW	5.00	13.0%	17.1%	1.5%	.281	3.24	18.3%	7.9%	46	-1.76	2.65	273	69
Alex Ayala Jr. L 2022 · 4.20 FIP	20	SW	4.20	20.7%	12.3%	2.3%	.271	5.99	13.6%	-3.1%	71	+1.79	4.20	128	69
Develson Aria L 2019 · 5.19 FIP	18	SU	5.19	15.5%	19.7%	1.6%	.311	4.33	21.7%	3.1%	54	-0.86	4.32	137	69
Yordan Nodal L 2019 · 5.24 FIP	17	SW	5.24	15.8%	20.7%	1.6%	.280	4.97	16.5%	1.3%	77	-0.27	4.94	193	68
CD Pelham L 2015 · 4.77 FIP	20	SU	4.77	18.8%	18.7%	1.6%	.286	4.00	20.4%	7.8%	109	-0.77	3.39	288	68