3X1L3

3X1L3 — CS2 Stats

AU76561197991676771[U:1:31411043]Steam profile ↗✓ No bans

1,168Tracked matches31%Win rate2020Tracked since
CSDB Rating4.3 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,894 -2,789 21 Nov – 29 Jul · 16 days played
9,89414,966peak 14,96621 Nov29 Jul
14,999Peak Premier in tracked matches
32Days played since 2024-11-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GG3X1L3FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning53
Utility24

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateWLLLLLWWLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −2.1pp headshot accuracy · −106ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 564ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 621ms

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 (+2.2 against its own average).

Aim5.7
Utility2.4
Positioning5.3
Opening Duels3.5
Clutch1.4

Limited utility dependence

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

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

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

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.7
Positioning5.3
Utility2.4
Mechanics5.4
Opening Duels3.5
Win Impact0.0

Composite 4.3/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time639ms+1ms
first ⅓ avg 638ms → last ⅓ avg 639ms
Headshot accuracy19.2%+3.9%
first ⅓ avg 15.3% → last ⅓ avg 19.2%

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

0.18Best match rating · 8–8 · inferno, 20 Dec →
36%Best headshot accuracy · 13–2 · dust2, 1 Dec →
406msFastest reaction time · 11–0 · overpass, 1 Aug →
13–1Biggest win · ancient, 27 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 52% over 23dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%0.01
ancientC208–1240%-0.00
infernoB2010–1050%0.01
dust2D153–1220%0.02
overpassB63–350%0.03
cacheC52–340%-0.01
nukeC52–340%-0.08
anubis—31–233%-0.03
train—21–150%0.00
palais—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

151Matches
45%Win rate
0.99Avg K/D
78.5ADR
36%Headshot %

Clutches & streaks

27%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2143%0.9814.2
Nuke850%1.2418.9
Inferno757%1.1015.3
Ancient650%0.6610.8
Dust2650%1.1715.5
Overpass4100%1.3112.5
Anubis333%1.2913.3
Vertigo2100%1.3621.5

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.

20.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.5%Spray accuracy
74.2%Counter-strafing
9.9°Preaim
637msReaction time
39.1%T opening success
48.9%CT opening success
0.42Enemies flashed / flash
8.1%Flash assists
9.25HE damage / grenade
2.46Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4165 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.1218% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.1115%3 Sept →
mirage9–130.0233%2 Sept →
dust211–13-0.0217%2 Sept →
ancient8–13-0.0319%2 Sept →
ancient9–130.0812%2 Sept →
mirage2–13-0.0522%2 Sept →
cache13–70.1117%26 Aug →
mirage13–40.0412%26 Aug →
ancient11–130.0712%25 Aug →
anubis3–13-0.0524%25 Aug →
cache4–13-0.0232%25 Aug →
anubis5–13-0.0419%25 Aug →
cache7–13-0.0532%8 May →
cache13–7-0.0113%8 May →
cache9–13-0.0718%8 May →
mirage12–120.0027%17 Aug →
inferno13–60.0622%17 Aug →
mirage13–50.0724%17 Aug →
nuke3–130.0111%2 Aug →
overpass11–00.026%1 Aug →
mirage2–13-0.0920%29 Jul →
dust29–13-0.0129%29 Jul →
mirage12–160.0121%27 Jul →
ancient13–10.058%27 Jul →
dust210–130.0221%26 Jul →
overpass12–160.0516%24 Jul →
inferno5–13-0.0125%24 Jul →
nuke13–8-0.0619%22 Jul →
dust29–130.0323%21 Jul →
ancient7–13-0.0123%21 Jul →
overpass13–11-0.0119%20 Jul →
train4–130.0011%20 Jul →
ancient13–80.0211%20 Jul →
mirage2–13-0.0420%20 Jul →
inferno13–110.0214%20 Jul →
mirage13–50.0833%20 Jul →
dust27–130.0529%19 Jul →
mirage9–130.0426%19 Jul →
mirage13–80.0818%19 Jul →
inferno5–13-0.0127%19 Jul →
inferno9–130.0615%19 Jul →
inferno13–9-0.0323%19 Jul →
ancient13–70.0315%19 Jul →
dust23–13-0.0232%19 Jul →
overpass13–80.1030%19 Jul →
overpass12–160.0516%19 Jul →
mirage13–100.0916%19 Jul →
dust213–50.068%19 Jul →
inferno13–110.0223%19 Jul →
dust213–160.0421%19 Jul →
overpass6–13-0.0331%19 Jul →
ancient9–130.0219%19 Jul →
dust213–60.0824%19 Jul →
mirage11–13-0.0425%19 Jul →
ancient10–13-0.0418%19 Jul →
inferno6–13-0.0216%18 Jul →
dust212–12-0.0315%17 Jul →
inferno13–90.016%17 Jul →
ancient1–13-0.1117%17 Jul →
inferno13–70.0526%21 Apr →
train13–90.007%21 Apr →
mirage5–13-0.0318%21 Apr →
inferno9–130.0127%14 Feb →
inferno8–80.1831%20 Dec →
nuke2–9-0.0911%20 Dec →
ancient11–13-0.0413%20 Dec →
inferno6–13-0.0621%18 Dec →
mirage13–110.0313%18 Dec →
ancient13–3-0.0212%18 Dec →
mirage13–70.0316%18 Dec →
mirage12–16-0.058%18 Dec →
ancient11–13-0.0215%18 Dec →
mirage16–130.0517%18 Dec →
dust26–13-0.0711%13 Dec →
anubis13–10-0.0113%13 Dec →
inferno2–60.0721%13 Dec →
ancient6–130.0216%13 Dec →
inferno14–16-0.0412%9 Dec →
ancient9–13-0.0517%9 Dec →
dust28–130.0815%9 Dec →
ancient13–80.0113%9 Dec →
inferno13–10-0.0318%6 Dec →
ancient8–2-0.0827%6 Dec →
inferno13–4-0.0214%4 Dec →
ancient13–9-0.0121%4 Dec →
inferno13–50.039%4 Dec →
mirage13–70.0118%4 Dec →
dust29–130.0014%3 Dec →
dust26–130.0123%2 Dec →
mirage13–90.0419%2 Dec →
dust213–20.0036%1 Dec →
mirage13–70.0122%1 Dec →
ancient15–15-0.077%30 Nov →
nuke13–8-0.0810%30 Nov →
mirage13–3-0.040%30 Nov →
inferno7–9-0.0814%25 Nov →
palais9–6-0.0416%25 Nov →
nuke6–9-0.1613%25 Nov →
inferno13–8-0.0712%21 Nov →
mirage7–13-0.0113%21 Nov →

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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