Flarax

Flarax — CS2 Stats

DE76561198448265484[U:1:487999756]Steam profile ↗✓ No bans

1,446Tracked matches43%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,446 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,544 -3,589 5 Mar – 4 Jul · 9 days played
22,54426,133peak 26,1335 Mar4 Jul
26,133Peak Premier in tracked matches
43Days played since 2026-03-03

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

Performance scores

Aim81
Positioning53
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateWWWLWLTLTL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · −66ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 569ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 522ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 555ms

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 (+0.8 against its own average).

Aim8.1
Utility4.1
Positioning5.3
Opening Duels4.0

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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. 594ms 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

Aim8.1
Positioning5.3
Utility4.1
Mechanics7.5
Opening Duels3.2
Win Impact2.6

Composite 5.8/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time592ms+15ms
first ⅓ avg 577ms → last ⅓ avg 592ms
Headshot accuracy22.0%+1.2%
first ⅓ avg 20.9% → last ⅓ avg 22.0%

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

0.16Best match rating · 13–4 · inferno, 10 Jul →
47%Best headshot accuracy · 3–6 · mirage, 13 Apr →
391msFastest reaction time · 6–5 · inferno, 16 Mar →
13–1Biggest win · cache, 2 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 65% over 23cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%0.04
mirageS2315–865%0.00
anubisB179–853%-0.00
overpassA148–657%0.01
cacheC83–538%0.01
dust2C52–340%-0.01
ancient—32–167%0.03
vertigo—10–10%-0.03
nuke—11–0100%0.09

Across the last 100 tracked matches.

Skill profile

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

22.7%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.1%Spray accuracy
83.8%Counter-strafing
9.6°Preaim
594msReaction time
37.4%T opening success
47.8%CT opening success
0.54Enemies flashed / flash
9.2%Flash assists
7.45HE damage / grenade
3.96Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9649 — below the 4 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 37.3792% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–70.0215%15 Aug →
cache13–10.0718%2 Aug →
mirage13–90.0338%21 Jul →
inferno6–130.0324%21 Jul →
inferno13–110.0421%18 Jul →
cache5–130.0130%18 Jul →
inferno12–120.0119%17 Jul →
anubis0–6-0.060%17 Jul →
cache12–12-0.0025%17 Jul →
mirage9–13-0.0418%16 Jul →
ancient4–13-0.0312%10 Jul →
inferno13–40.1626%10 Jul →
anubis16–13-0.0115%9 Jul →
inferno13–90.0226%9 Jul →
mirage13–11-0.0221%4 Jul →
inferno2–12-0.0829%4 Jul →
overpass4–13-0.0521%4 Jul →
dust21–4-0.0425%4 Jul →
cache13–100.0519%13 May →
cache6–130.0121%13 May →
anubis13–110.0928%3 May →
cache4–13-0.0341%29 Apr →
cache2–13-0.0340%29 Apr →
mirage7–130.0221%21 Apr →
mirage13–10.0417%21 Apr →
inferno3–130.0120%21 Apr →
overpass11–130.0215%20 Apr →
anubis11–13-0.0426%18 Apr →
mirage13–2-0.0217%18 Apr →
mirage8–13-0.0324%18 Apr →
dust213–8-0.0425%18 Apr →
inferno13–50.0111%15 Apr →
mirage13–100.0318%15 Apr →
inferno11–130.0029%15 Apr →
inferno6–130.0322%13 Apr →
mirage3–60.0047%13 Apr →
inferno13–50.0112%12 Apr →
anubis13–10.0316%12 Apr →
overpass13–60.0820%11 Apr →
inferno2–130.0328%11 Apr →
inferno8–13-0.0217%11 Apr →
overpass6–130.0121%9 Apr →
vertigo10–13-0.0322%9 Apr →
ancient13–80.0520%6 Apr →
anubis13–80.0516%6 Apr →
mirage13–90.0931%5 Apr →
anubis8–130.0124%5 Apr →
inferno13–110.1121%5 Apr →
inferno10–30.1423%4 Apr →
dust213–100.017%4 Apr →
anubis13–10-0.0319%1 Apr →
mirage9–13-0.0711%1 Apr →
inferno12–120.0816%31 Mar →
anubis13–30.0219%31 Mar →
overpass12–12-0.0624%31 Mar →
dust29–130.0026%30 Mar →
anubis13–100.0116%29 Mar →
overpass7–00.0819%29 Mar →
ancient9–40.0826%29 Mar →
mirage11–10.0622%29 Mar →
nuke13–60.0938%29 Mar →
inferno10–130.0823%28 Mar →
mirage13–40.0926%28 Mar →
anubis3–130.0226%28 Mar →
mirage6–13-0.0023%26 Mar →
anubis3–13-0.0617%26 Mar →
inferno13–100.0318%26 Mar →
inferno13–100.0214%24 Mar →
anubis10–13-0.0519%22 Mar →
mirage13–9-0.0227%22 Mar →
mirage13–5-0.0339%21 Mar →
anubis13–11-0.0014%21 Mar →
inferno8–13-0.0020%21 Mar →
dust210–130.0228%21 Mar →
inferno4–130.0110%21 Mar →
overpass6–13-0.0110%19 Mar →
inferno10–13-0.039%19 Mar →
anubis10–13-0.0413%16 Mar →
inferno6–50.0528%16 Mar →
mirage13–10-0.0615%16 Mar →
overpass4–13-0.0329%16 Mar →
inferno13–60.0320%14 Mar →
overpass13–60.0222%14 Mar →
mirage5–30.1127%14 Mar →
overpass13–30.0111%12 Mar →
mirage13–5-0.0642%12 Mar →
inferno10–130.0117%11 Mar →
mirage13–7-0.0410%9 Mar →
inferno12–120.0619%9 Mar →
overpass13–110.0520%8 Mar →
overpass13–100.0418%7 Mar →
anubis13–30.0323%7 Mar →
inferno13–70.0627%7 Mar →
mirage4–13-0.0619%7 Mar →
anubis12–12-0.0116%6 Mar →
overpass13–60.0121%6 Mar →
overpass13–30.0519%5 Mar →
mirage13–80.0325%5 Mar →
inferno13–80.1030%3 Mar →
mirage2–13-0.0329%3 Mar →

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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