Kataklysmisk luftvapensmygga

Kataklysmisk luftvapensmygga — CS2 Stats

76561199507403245[U:1:1547137517]Steam profile ↗✓ No bans

475Tracked matches62%Win rate2023Tracked since
CSDB Rating7.2 StrongAll-Rounder
Premier CS Rating21,164Top 50% of 208,191 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#66512 of 255804 tracked
FaceitLevel 10 · 1,434 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 475 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,164 +4,227 20 Mar – 9 Sept · 17 days played
16,93721,922peak 21,92220 Mar9 Sept
22,241Peak Premier in tracked matches
1,434Highest Faceit ELO seen on CSDB
39Days played since 2026-03-18

Faceit ELO

  • At peak — 1,434
  • Next: Level 8 at 1,531 — 97 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-09
  • Level 6 first seen 2026-09-09

Premier CS Rating

  • 758 below peak (21,922)
  • Next: Red band at 25,000 — 3,836 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-09
  • Purple band first seen 2026-09-09

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.

Share this profile

CSDB.GGKataklysmisk luftvapensmy…FACEITLevel 10 · 1,434 ELOSTANDINGTop 12.4% of rankedPREMIER21,164 · Pink bandPEAK ELO1,434csdb.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

Aim80
Positioning65
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY61–35–4Last 10061%Win rateLWWLTTLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.5pp headshot accuracy · −38ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 535ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 554ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.0
Utility5.2
Positioning6.5
Opening Duels6.6
Clutch5.4

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 86% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 563ms 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

Aim8.0
Positioning6.5
Utility5.2
Mechanics6.9
Opening Duels6.0
Win Impact9.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.05
Reaction time558ms−4ms
first ⅓ avg 563ms → last ⅓ avg 558ms
Headshot accuracy21.3%+2.9%
first ⅓ avg 18.3% → last ⅓ avg 21.3%

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

0.40Best match rating · 13–3 · train, 28 Apr →
67%Best headshot accuracy · 2–2 · dust2, 13 May →
313msFastest reaction time · 7–13 · ancient, 22 Mar →
13–0Biggest win · train, 28 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 100% over 7infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2214–864%0.03
dust2A2113–862%0.02
ancientC187–1139%0.02
anubisS118–373%0.02
nukeS77–0100%0.04
vertigoS75–271%0.01
infernoD51–420%0.10
cache—31–233%0.01
overpass—32–167%0.03
train—22–0100%0.27
cache_b—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

167Matches
60%Win rate
1.30Avg K/D
88.5ADR
51%Headshot %

Clutches & streaks

47%1v1 clutch win
27%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6866%1.3619.7
Dust22536%1.1616.4
Ancient2157%1.2118.6
Inferno1850%1.3519.3
Nuke1385%1.2920.0
Anubis1267%1.3818.1
Overpass967%1.2217.9
Cache1100%1.5012.0

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.

19.8%Headshot accuracy
37.9%Accuracy (enemy spotted)
39.7%Spray accuracy
81.1%Counter-strafing
9.8°Preaim
563msReaction time
52.0%T opening success
55.6%CT opening success
0.52Enemies flashed / flash
6.7%Flash assists
5.84HE damage / grenade
8.79Flashes / match

Recommended for you

Spend your practice time on Inferno

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 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.070%22 May →
inferno9–60.2213%20 May →
dust213–5-0.0120%20 May →
ancient14–160.0316%19 May →
inferno8–80.1633%18 May →
inferno8–80.1719%18 May →
dust21–13-0.0728%15 May →
dust213–80.0623%13 May →
dust22–2-0.0267%13 May →
ancient13–90.0216%10 May →
nuke13–50.0024%10 May →
mirage13–10-0.0615%9 May →
cache9–130.0124%8 May →
inferno8–130.0220%8 May →
cache12–120.0331%6 May →
cache13–11-0.0321%6 May →
mirage13–80.0430%3 May →
ancient10–130.0319%29 Apr →
train13–00.1522%28 Apr →
train13–30.4034%28 Apr →
nuke13–60.0420%23 Apr →
mirage13–80.0417%23 Apr →
nuke19–170.1014%23 Apr →
ancient4–13-0.0112%23 Apr →
mirage4–130.0420%22 Apr →
mirage13–90.1014%22 Apr →
dust213–30.0822%22 Apr →
nuke13–60.0317%22 Apr →
anubis16–140.0418%21 Apr →
mirage10–13-0.0417%21 Apr →
mirage13–8-0.018%21 Apr →
dust213–20.0223%21 Apr →
dust27–13-0.0125%21 Apr →
dust213–1-0.014%21 Apr →
anubis11–130.0622%20 Apr →
dust213–8-0.0324%20 Apr →
ancient6–13-0.0117%20 Apr →
mirage13–80.0719%20 Apr →
mirage13–90.0820%19 Apr →
overpass13–20.1133%19 Apr →
mirage13–80.0524%17 Apr →
mirage12–160.0827%15 Apr →
mirage13–30.0436%15 Apr →
mirage13–80.0925%15 Apr →
dust213–100.1928%13 Apr →
vertigo12–120.0320%9 Apr →
mirage14–160.0328%7 Apr →
mirage11–13-0.0131%6 Apr →
ancient8–13-0.0312%6 Apr →
mirage16–120.0520%6 Apr →
anubis13–40.0631%6 Apr →
vertigo11–130.0632%6 Apr →
inferno8–13-0.0612%5 Apr →
ancient10–130.0710%5 Apr →
ancient11–13-0.0418%2 Apr →
dust29–130.0115%1 Apr →
ancient13–70.0220%1 Apr →
mirage13–110.0621%1 Apr →
ancient13–00.1416%31 Mar →
dust213–50.1536%31 Mar →
dust26–130.0720%31 Mar →
dust27–13-0.0425%30 Mar →
anubis13–100.0218%30 Mar →
ancient10–130.0816%30 Mar →
dust213–30.0120%30 Mar →
ancient13–100.0220%30 Mar →
cache_b16–14-0.0324%29 Mar →
ancient13–100.1135%29 Mar →
anubis13–90.0126%27 Mar →
ancient13–160.0011%27 Mar →
dust213–60.0317%26 Mar →
ancient13–110.037%26 Mar →
dust213–110.0313%26 Mar →
vertigo13–10-0.0521%25 Mar →
mirage22–190.0420%25 Mar →
anubis7–13-0.0428%24 Mar →
dust211–13-0.0522%24 Mar →
vertigo13–9-0.0415%24 Mar →
mirage13–160.0716%24 Mar →
anubis13–16-0.0623%23 Mar →
ancient13–16-0.0413%23 Mar →
anubis13–100.0231%22 Mar →
anubis16–12-0.0111%22 Mar →
ancient7–13-0.0418%22 Mar →
dust213–40.0116%22 Mar →
nuke13–70.0221%20 Mar →
dust213–100.1010%20 Mar →
overpass10–13-0.0329%20 Mar →
ancient13–110.0218%19 Mar →
overpass13–90.0214%19 Mar →
vertigo13–9-0.0011%19 Mar →
mirage13–110.0219%19 Mar →
nuke13–50.0613%19 Mar →
vertigo13–11-0.0110%19 Mar →
mirage10–130.0112%19 Mar →
anubis19–160.0225%19 Mar →
dust29–13-0.0117%19 Mar →
vertigo13–110.0627%19 Mar →
nuke13–60.0122%19 Mar →
anubis13–40.1015%18 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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