Gabriel de León

Gabriel de León — CS2 Stats

FO76561198022416229[U:1:62150501]Steam profile ↗✓ No bans

1,054Tracked matches55%Win rate2025Tracked since
2,684Hours in CS75Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating17,835Purple band · top ~17.1% of ranked players (population est.)
FaceitLevel 6 · 843 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,835 +2,685 20 Sept – 7 Nov · 14 days played
13,07718,777peak 18,77720 Sept7 Nov
19,510Peak Premier in tracked matches
843Highest Faceit ELO seen on CSDB
20Days played since 2026-09-20

Faceit ELO

  • At peak — 843
  • Next: Level 4 at 901 — 58 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-20
  • Level 2 first seen 2026-09-20

Premier CS Rating

  • 942 below peak (18,777)
  • Next: Pink band at 20,000 — 2,165 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate40.6%44.8%45.7%5.1% short
Shot accuracy9.0%12.4%12.7%3.8% short
Kill/death ratio0.921.031.050.14 short
Match win rate44.9%45.2%45.7%meets

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGabriel de LeónFACEITLevel 6 · 843 ELOSTANDINGTop 54.0% of rankedPREMIER17,835 · Purple bandPEAK ELO843csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning65
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateWLLWWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −0.3pp headshot accuracy · +12ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 536ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 517ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 511ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.7
Utility5.2
Positioning6.5
Opening Duels3.9
Clutch3.4

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.7
Positioning6.5
Utility5.2
Mechanics5.3
Opening Duels4.8
Win Impact6.7

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time537ms+9ms
first ⅓ avg 527ms → last ⅓ avg 537ms
Headshot accuracy16.6%−0.6%
first ⅓ avg 17.2% → last ⅓ avg 16.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 8–13 · dust2, 30 Oct →
33%Best headshot accuracy · 8–1 · dust2, 31 Oct →
383msFastest reaction time · 13–8 · dust2, 1 Nov →
13–0Biggest win · inferno, 31 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
2–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 79% over 14cacheWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%0.02
nukeS1510–567%0.02
infernoS1411–379%0.01
mirageA148–657%-0.00
anubisA127–558%0.00
cacheB105–550%0.02
ancientB63–350%0.06
office—20–20%-0.05
vertigo—10–10%0.03
train—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

70,182Lifetime kills
0.92K/D
4,022Matches
44.9%Match win rate
40.6%Headshot %
9.0%Shot accuracy
10,372MVPs
1,938Hours (in match)
4,711Bombs planted
801Bombs defused

Most-used weapons

AK-4722,802
AWP8,472
UMP-451,651
MAC-101,288
P2501,196
P901,119

Lifetime map wins

6,517dust2
5,524inferno
3,554nuke
2,209train
1,151cbble
429vertigo
150office
45lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

488Matches
52%Win rate
0.87Avg K/D
69.6ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust211052%0.8212.5
Ancient7758%0.9514.4
Mirage6346%0.8814.0
Inferno6048%0.9413.7
Anubis5654%0.8212.9
Nuke4955%0.9414.4
Cache3653%0.8814.6
Overpass2446%0.7211.2

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.4%Headshot accuracy
32.1%Accuracy (enemy spotted)
37.2%Spray accuracy
74.1%Counter-strafing
9.1°Preaim
528msReaction time
54.9%T opening success
43.6%CT opening success
0.75Enemies flashed / flash
4.1%Flash assists
7.72HE damage / grenade
6.92Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno13–20.0228%11 Nov →
dust210–13-0.0015%9 Nov →
dust25–13-0.038%7 Nov →
dust213–70.0327%7 Nov →
mirage13–90.0122%7 Nov →
inferno16–19-0.0413%7 Nov →
nuke13–7-0.0118%6 Nov →
dust22–13-0.0717%5 Nov →
nuke13–50.0315%5 Nov →
dust216–13-0.0114%4 Nov →
mirage15–15-0.0319%4 Nov →
nuke11–130.0118%4 Nov →
dust27–13-0.0111%4 Nov →
inferno4–9-0.0424%4 Nov →
anubis9–13-0.0618%4 Nov →
mirage5–13-0.0325%3 Nov →
dust213–160.0123%3 Nov →
nuke13–11-0.037%3 Nov →
inferno13–100.0313%3 Nov →
cache16–120.0721%3 Nov →
cache9–130.0111%3 Nov →
anubis13–10-0.0211%3 Nov →
inferno13–60.0715%3 Nov →
dust213–90.007%3 Nov →
anubis16–130.0710%2 Nov →
nuke13–100.0515%2 Nov →
ancient13–40.0616%2 Nov →
mirage7–13-0.0224%2 Nov →
inferno16–12-0.0218%2 Nov →
dust24–130.0119%2 Nov →
inferno13–90.0417%2 Nov →
cache13–80.0213%2 Nov →
nuke13–8-0.0215%2 Nov →
ancient13–20.1515%2 Nov →
cache13–3-0.023%2 Nov →
nuke8–130.0018%2 Nov →
nuke6–130.0125%2 Nov →
dust213–8-0.0218%1 Nov →
nuke13–50.1117%1 Nov →
mirage13–70.0016%1 Nov →
cache7–13-0.0322%1 Nov →
inferno13–60.0726%1 Nov →
anubis6–13-0.0314%1 Nov →
mirage7–0-0.010%1 Nov →
cache10–10.0620%1 Nov →
dust213–10-0.0316%1 Nov →
mirage13–30.1426%1 Nov →
inferno13–100.0726%1 Nov →
inferno13–40.0019%1 Nov →
nuke13–80.0414%1 Nov →
mirage8–130.0120%1 Nov →
dust216–13-0.0117%1 Nov →
dust213–100.049%31 Oct →
nuke13–60.0512%31 Oct →
inferno13–0-0.0217%31 Oct →
dust213–40.0819%31 Oct →
nuke4–130.0124%31 Oct →
ancient10–130.0815%31 Oct →
inferno8–13-0.0711%31 Oct →
dust28–130.029%31 Oct →
dust25–130.0219%31 Oct →
anubis9–130.0216%31 Oct →
anubis5–130.0510%31 Oct →
vertigo7–130.0312%31 Oct →
dust28–10.1433%31 Oct →
train9–13-0.0521%30 Oct →
dust213–50.0118%30 Oct →
inferno13–80.0725%30 Oct →
mirage13–30.0019%30 Oct →
dust28–130.1512%30 Oct →
nuke13–80.0516%30 Oct →
ancient14–160.0616%30 Oct →
cache5–130.0318%30 Oct →
dust213–16-0.0413%29 Oct →
dust211–13-0.0920%29 Oct →
anubis13–10-0.1016%29 Oct →
anubis13–20.046%29 Oct →
mirage13–100.0518%29 Oct →
mirage10–13-0.057%29 Oct →
dust213–100.0016%29 Oct →
cache13–50.0923%29 Oct →
ancient13–40.0119%29 Oct →
anubis16–13-0.0220%28 Oct →
anubis13–90.0111%28 Oct →
nuke7–130.0219%27 Oct →
dust213–70.1516%27 Oct →
cache9–130.0420%26 Oct →
dust213–110.0116%25 Oct →
anubis7–13-0.0815%21 Oct →
ancient9–13-0.019%21 Oct →
mirage13–9-0.0326%21 Oct →
inferno13–70.0016%21 Oct →
mirage13–6-0.0520%20 Oct →
dust211–130.0519%20 Oct →
mirage9–13-0.0419%20 Oct →
office8–13-0.0415%19 Oct →
cache4–13-0.0916%19 Oct →
anubis13–60.1121%19 Oct →
nuke13–4-0.0419%18 Oct →
office10–13-0.0527%18 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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