KunoWRLD

KunoWRLD — CS2 Stats

DE76561198017111512[U:1:56845784]Steam profile ↗✓ No bans

1,110Tracked matches59%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
CSDB Leaderboard#31891 of 259151 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,050 -283 29 Mar – 4 Jul · 24 days played
21,51524,333peak 24,33329 Mar4 Jul
25,456Peak Premier in tracked matches
46Days played since 2026-03-29

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

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CSDB.GGKunoWRLDFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility70

0–100 skill scores via Leetify.

Recent form

HOT54–43–3Last 10054%Win rateWWWWWLWWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +0.1pp headshot accuracy · −12ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 514ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 549ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • 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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim6.2
Utility7.0
Positioning5.2
Opening Duels4.1
Clutch4.6

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

Twistzz

Plays most like Twistzz 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 579ms 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

Aim6.2
Positioning5.2
Utility7.0
Mechanics6.2
Opening Duels3.9
Win Impact8.1

Composite 6.1/10 (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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time587ms+4ms
first ⅓ avg 584ms → last ⅓ avg 587ms
Headshot accuracy18.9%−3.5%
first ⅓ avg 22.3% → last ⅓ avg 18.9%

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 · 13–0 · inferno, 18 Oct →
50%Best headshot accuracy · 0–4 · ancient, 31 Mar →
391msFastest reaction time · 16–13 · inferno, 25 Oct →
13–0Biggest win · inferno, 18 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W5Current streak
7–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 73% over 15dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
infernoS2416–867%0.02
dust2D216–1529%-0.00
cacheA1810–856%-0.00
ancientS1511–473%0.02
nukeB84–450%0.02
overpassB84–450%0.01
mirage—42–250%-0.02
train—10–10%-0.04
anubis—11–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,108Matches
50%Win rate
1.11Avg K/D
80.9ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1471%1.1716.1
Dust21050%0.9713.4
Inferno862%1.1519.5
Cache520%1.3617.8
Anubis333%0.9415.3
Overpass333%1.0115.7
Nuke20%0.6513.0

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.

18.7%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.1%Spray accuracy
77.7%Counter-strafing
11.5°Preaim
579msReaction time
48.1%T opening success
42.8%CT opening success
0.62Enemies flashed / flash
11.3%Flash assists
8.78HE damage / grenade
13.79Flashes / match

Recommended for you

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.

29% win rate across 21 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
dust213–90.0123%25 Oct →
inferno16–130.0420%25 Oct →
inferno13–100.0015%18 Oct →
inferno13–00.1527%18 Oct →
inferno9–60.0818%14 Aug →
nuke16–19-0.0223%3 Aug →
ancient13–50.0815%2 Aug →
inferno13–100.0012%2 Aug →
dust26–13-0.0529%22 Jul →
dust24–130.0319%20 Jul →
inferno13–10-0.0020%20 Jul →
cache14–160.0320%20 Jul →
dust211–13-0.0126%19 Jul →
cache13–10-0.0115%19 Jul →
inferno13–70.0428%12 Jul →
cache3–13-0.0417%12 Jul →
inferno13–10-0.0524%11 Jul →
cache13–30.0513%11 Jul →
ancient10–130.0421%11 Jul →
dust211–130.0117%10 Jul →
cache11–13-0.0317%7 Jul →
cache13–11-0.0314%7 Jul →
cache13–10-0.0017%7 Jul →
cache12–120.0519%7 Jul →
mirage13–80.0316%4 Jul →
overpass13–100.0020%4 Jul →
nuke13–40.0617%4 Jul →
cache12–12-0.048%2 Jul →
cache12–120.0420%2 Jul →
cache0–13-0.0817%2 Jul →
dust211–13-0.0315%29 Jun →
inferno13–60.0520%29 Jun →
overpass13–10.0322%27 Jun →
nuke12–160.0418%27 Jun →
overpass11–130.0318%27 Jun →
nuke13–50.0810%27 Jun →
ancient8–13-0.0126%27 Jun →
ancient13–1-0.046%25 Jun →
dust29–130.0114%24 Jun →
nuke2–130.0111%22 Jun →
inferno13–30.0422%21 Jun →
dust216–140.0416%21 Jun →
overpass14–16-0.0021%20 Jun →
train11–13-0.0424%19 Jun →
ancient13–10.0118%19 Jun →
inferno13–60.0319%17 Jun →
inferno5–13-0.0511%16 Jun →
inferno9–130.0621%16 Jun →
dust216–140.0425%15 Jun →
inferno13–70.0212%15 Jun →
ancient10–13-0.0424%15 Jun →
overpass13–90.0311%14 Jun →
mirage4–13-0.0318%14 Jun →
overpass3–13-0.0428%14 Jun →
inferno13–10-0.0213%14 Jun →
mirage3–13-0.0527%14 Jun →
ancient13–70.0112%13 Jun →
inferno11–130.0520%10 Jun →
dust213–70.0324%2 Jun →
dust29–13-0.0421%31 May →
nuke8–2-0.070%31 May →
dust213–10-0.0610%31 May →
inferno13–11-0.0428%18 May →
dust27–13-0.0314%18 May →
ancient13–60.0114%18 May →
dust213–90.0139%17 May →
dust211–130.0915%16 May →
overpass13–80.029%16 May →
inferno3–13-0.0425%16 May →
cache13–100.0115%16 May →
cache13–110.0124%12 May →
cache13–9-0.0321%12 May →
ancient13–9-0.049%12 May →
ancient13–90.0932%12 May →
cache7–40.0721%12 May →
cache13–90.0129%7 May →
cache6–13-0.0028%29 Apr →
dust212–160.0127%29 Apr →
cache13–7-0.0419%29 Apr →
nuke13–110.0625%28 Apr →
inferno14–160.0321%28 Apr →
inferno13–60.0718%28 Apr →
ancient13–60.0416%21 Apr →
ancient13–10-0.0121%21 Apr →
dust26–130.0126%16 Apr →
ancient13–90.1418%10 Apr →
inferno7–13-0.0510%10 Apr →
ancient13–110.1227%9 Apr →
dust27–13-0.0616%3 Apr →
dust210–130.0233%3 Apr →
inferno3–130.0314%2 Apr →
mirage13–10-0.0419%31 Mar →
inferno13–8-0.0141%31 Mar →
ancient0–4-0.0750%31 Mar →
anubis13–6-0.0317%30 Mar →
dust210–13-0.0719%30 Mar →
nuke10–13-0.0128%29 Mar →
dust24–13-0.0421%29 Mar →
overpass7–130.0221%29 Mar →
inferno9–13-0.0621%29 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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