asterix

asterix — CS2 Stats

76561198039720074[U:1:79454346]Steam profile ↗✓ No bans

1,266Tracked matches45%Win rate2020Tracked since
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating13,992Blue band · top ~33.7% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (2 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: 13,992 -2,745 21 Jul – 26 Sept · 38 days played
12,07216,937peak 16,93721 Jul26 Sept
17,279Peak Premier in tracked matches
38Days played since 2026-07-21

Premier CS Rating

  • 2,945 below peak (16,937)
  • -116 over 30 days · steady
  • Next: Purple band at 15,000 — 1,008 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGasterixFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER13,992 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning59
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateWWWLWLWWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +2.4pp headshot accuracy · +9ms 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 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 631ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 627ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 622ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim6.6
Utility1.9
Positioning5.9
Opening Duels3.1
Clutch6.0

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 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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 →

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. 591ms 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

Aim6.6
Positioning5.9
Utility1.9
Mechanics5.4
Opening Duels4.0
Win Impact3.3

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time592ms−34ms
first ⅓ avg 625ms → last ⅓ avg 592ms
Headshot accuracy13.5%−0.4%
first ⅓ avg 13.9% → last ⅓ avg 13.5%

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

0.11Best match rating · 13–4 · dust2, 10 Sept →
28%Best headshot accuracy · 7–13 · dust2, 25 Jul →
375msFastest reaction time · 13–7 · inferno, 27 Aug →
13–0Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
6–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 58% over 19nukeWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC219–1243%0.00
cacheA1911–858%0.00
mirageC156–940%-0.01
nukeD155–1033%-0.01
dust2C145–936%0.01
anubisC94–544%0.03
ancientA74–357%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches
49%Win rate
1.12Avg K/D
100.4ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1258%1.3017.6
Anubis850%1.1114.5
Overpass650%0.9415.0
Mirage667%1.0719.3
Dust2520%0.7613.4
Nuke540%1.2918.8
Cache1100%1.0011.0
Vertigo1100%2.1726.0

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.

13.8%Headshot accuracy
38.5%Accuracy (enemy spotted)
40.6%Spray accuracy
74.4%Counter-strafing
10.7°Preaim
591msReaction time
47.5%T opening success
44.2%CT opening success
0.22Enemies flashed / flash
0.0%Flash assists
8.81HE damage / grenade
0.45Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.796% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2213 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–14-0.0711%26 Sept →
mirage13–20.0317%26 Sept →
nuke13–80.0014%21 Sept →
dust214–160.0421%20 Sept →
mirage13–00.0312%20 Sept →
dust24–13-0.0510%17 Sept →
mirage13–30.016%15 Sept →
anubis13–90.0611%15 Sept →
ancient6–13-0.0220%13 Sept →
inferno10–13-0.0615%12 Sept →
inferno13–110.0611%12 Sept →
mirage11–13-0.0217%10 Sept →
dust213–40.1110%10 Sept →
mirage13–7-0.1110%9 Sept →
cache13–10.0510%9 Sept →
nuke13–8-0.028%8 Sept →
ancient13–110.028%7 Sept →
ancient3–13-0.0011%6 Sept →
cache13–40.0417%6 Sept →
nuke9–130.0211%6 Sept →
cache10–130.0316%6 Sept →
nuke15–15-0.0414%5 Sept →
anubis9–130.0414%5 Sept →
inferno13–160.0217%5 Sept →
inferno6–13-0.099%4 Sept →
cache11–13-0.0612%4 Sept →
anubis14–160.0116%4 Sept →
cache9–13-0.0322%31 Aug →
cache5–130.0014%31 Aug →
inferno10–130.0124%30 Aug →
nuke15–150.0113%29 Aug →
inferno16–12-0.0016%29 Aug →
inferno8–2-0.0513%29 Aug →
anubis13–40.029%29 Aug →
inferno5–13-0.042%29 Aug →
cache13–8-0.0313%27 Aug →
cache13–4-0.0018%27 Aug →
inferno13–7-0.0315%27 Aug →
mirage10–13-0.0513%26 Aug →
inferno8–13-0.009%26 Aug →
nuke4–13-0.0413%25 Aug →
nuke15–15-0.069%24 Aug →
inferno15–150.0519%23 Aug →
nuke13–10-0.0118%23 Aug →
ancient16–13-0.0116%23 Aug →
cache11–13-0.036%22 Aug →
ancient11–130.0614%22 Aug →
mirage8–13-0.0516%22 Aug →
mirage11–13-0.0015%22 Aug →
dust210–13-0.017%21 Aug →
inferno13–70.0320%20 Aug →
inferno13–90.0322%20 Aug →
cache5–13-0.0413%19 Aug →
cache13–50.078%19 Aug →
dust27–13-0.0115%19 Aug →
mirage4–13-0.0420%19 Aug →
dust26–13-0.0122%18 Aug →
inferno11–130.0025%15 Aug →
dust29–130.0118%15 Aug →
nuke8–130.099%15 Aug →
dust26–13-0.0215%15 Aug →
inferno13–10.0320%15 Aug →
inferno13–8-0.0010%14 Aug →
mirage13–80.0213%14 Aug →
dust216–140.0315%14 Aug →
mirage13–60.0517%14 Aug →
ancient13–1-0.0313%13 Aug →
mirage14–160.0210%12 Aug →
inferno13–20.1113%12 Aug →
inferno7–13-0.048%11 Aug →
anubis14–160.0016%11 Aug →
cache13–90.039%11 Aug →
dust213–100.0326%11 Aug →
inferno8–13-0.0013%11 Aug →
anubis13–90.059%10 Aug →
anubis13–90.0313%10 Aug →
inferno8–13-0.018%10 Aug →
nuke4–13-0.0312%10 Aug →
mirage8–130.0115%9 Aug →
nuke10–13-0.0222%9 Aug →
nuke9–13-0.0111%26 Jul →
ancient13–50.048%26 Jul →
dust213–60.0318%26 Jul →
dust25–13-0.0615%26 Jul →
cache13–90.0212%26 Jul →
anubis11–130.0720%26 Jul →
nuke13–11-0.0113%26 Jul →
dust27–13-0.0128%25 Jul →
cache13–90.0514%25 Jul →
inferno7–13-0.0013%25 Jul →
cache13–10-0.0210%25 Jul →
dust213–60.048%25 Jul →
cache10–130.0717%25 Jul →
mirage15–15-0.0318%25 Jul →
nuke13–90.0115%25 Jul →
cache7–13-0.0111%24 Jul →
cache13–110.0121%24 Jul →
mirage5–13-0.0511%24 Jul →
nuke8–13-0.018%21 Jul →
anubis5–130.0014%21 Jul →

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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