KoNoZ

KoNoZ — CS2 Stats

76561197977286561[U:1:17020833]Steam profile ↗✓ No bans

821Tracked matches47%Win rate2021Tracked since
CSDB Rating3.8 Learning
FaceitLevel 5 · 1,201 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Share this profile

CSDB.GGKoNoZFACEITLevel 5 · 1,201 ELOSTANDINGTop 67.6% of rankedcsdb.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

Aim44
Positioning55
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateWTWWLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim4.4
Aggression7.5
Utility4.2
Positioning5.5
Opening Duels3.4
Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 84% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning5.5
Utility4.2
Mechanics3.1
Opening Duels3.4
Win Impact3.9

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time601ms−10ms
first ⅓ avg 610ms → last ⅓ avg 601ms
Headshot accuracy14.7%−1.2%
first ⅓ avg 15.9% → last ⅓ avg 14.7%

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.

Highlights

0.18Best rating — inferno 9–4
132Biggest win — nuke
5Longest win streak
79In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 6dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2112957%-0.00
nukeC2081240%0.00
mirageC156940%-0.01
dust2D93633%-0.03
overpassB84450%-0.01
trainB84450%0.02
ancientS64267%-0.00
anubis31233%-0.03
vertigo21150%-0.04
office21150%0.03
grail2020%-0.04
agency220100%0.06
jura21150%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

343Matches
49%Win rate
1.04Avg K/D
84.5ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke6962%1.1916.8
Inferno6957%1.1015.6
Mirage6942%0.9515.1
Ancient3746%0.8614.2
Dust23438%1.0015.5
Train2646%1.2017.6
Overpass1844%1.0215.8
Anubis1145%1.0614.3

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.

14.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
37.1%Spray accuracy
64.1%Counter-strafing
11.6°Preaim
609msReaction time
33.3%T opening success
53.7%CT opening success
0.50Enemies flashed / flash
2.4%Flash assists
6.89HE damage / grenade
5.10Flashes / 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 14.8144% — below the 15% mark we flag

    Aim Training
  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 33.2987% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass9–30.0820%25 Aug
nuke8–80.0314%25 Aug
inferno9–00.158%25 Aug
mirage16–120.0319%15 Aug
nuke7–13-0.0919%15 Aug
nuke13–110.0215%15 Aug
vertigo13–8-0.0316%15 Aug
inferno11–13-0.0218%14 Aug
train8–130.0117%14 Aug
inferno13–7-0.078%14 Aug
nuke13–40.0413%24 May
mirage13–9-0.0114%24 May
ancient13–40.0611%26 Apr
nuke5–13-0.0115%20 Feb
inferno13–30.0018%8 Feb
mirage17–19-0.0110%5 Feb
train8–13-0.018%18 Jan
nuke3–13-0.0522%14 Dec
mirage4–13-0.0016%13 Dec
nuke10–130.0620%13 Dec
mirage10–13-0.0319%5 Dec
dust23–13-0.0211%5 Dec
inferno13–10-0.026%15 Nov
train13–70.0519%15 Nov
nuke9–13-0.017%31 Oct
mirage6–13-0.079%19 Oct
inferno13–80.0118%19 Oct
nuke3–13-0.0116%19 Oct
ancient13–80.0118%20 Sept
nuke16–130.0518%20 Sept
overpass13–8-0.0114%19 Sept
mirage7–13-0.045%19 Sept
train11–130.0525%18 Sept
train13–7-0.0522%11 Sept
dust29–130.0118%7 Sept
inferno5–13-0.097%7 Sept
mirage11–13-0.0420%7 Sept
nuke13–9-0.0716%5 Sept
dust210–13-0.0611%4 Sept
inferno8–130.0015%3 Sept
ancient13–10-0.0420%3 Sept
dust210–13-0.0513%3 Sept
inferno5–13-0.037%3 Sept
inferno13–11-0.0414%3 Sept
dust213–70.0317%2 Sept
office13–110.0522%2 Sept
ancient4–13-0.0314%2 Sept
mirage13–5-0.0219%2 Sept
grail12–12-0.058%29 Aug
grail6–13-0.0412%29 Aug
nuke12–12-0.0414%27 Aug
anubis13–5-0.0411%26 Aug
anubis7–13-0.0319%26 Aug
overpass0–10-0.0712%22 Aug
inferno14–16-0.0121%19 Aug
nuke13–30.0514%19 Aug
train13–50.0621%19 Aug
nuke13–11-0.019%15 Aug
dust25–13-0.0613%15 Aug
mirage10–13-0.0118%15 Aug
overpass13–11-0.0510%14 Aug
dust213–9-0.0014%13 Aug
dust213–40.0119%13 Aug
overpass4–13-0.0015%12 Aug
train8–13-0.069%12 Aug
inferno11–130.0916%11 Aug
nuke13–20.1016%11 Aug
inferno1–8-0.047%11 Aug
nuke17–190.0518%9 Aug
overpass13–40.0325%8 Aug
agency13–40.0915%6 Aug
agency13–50.0413%6 Aug
inferno13–9-0.0229%4 Aug
mirage13–50.0129%4 Aug
dust27–13-0.0726%4 Aug
office7–130.0119%2 Aug
jura13–30.0611%1 Aug
jura0–13-0.0614%1 Aug
inferno13–10-0.098%30 Jul
ancient16–13-0.0213%20 Jul
overpass10–13-0.0113%19 Jul
inferno13–90.0311%24 Jun
mirage13–10-0.0216%24 Jun
inferno13–80.0413%26 Apr
mirage10–130.0114%26 Apr
ancient10–130.0016%20 Apr
anubis11–13-0.0116%16 Apr
train13–20.0617%14 Apr
nuke13–11-0.0215%10 Apr
inferno13–8-0.0410%10 Apr
mirage13–160.0615%4 Apr
inferno0–13-0.1014%4 Apr
nuke2–9-0.1114%4 Apr
overpass3–9-0.0612%4 Apr
vertigo7–9-0.0419%4 Apr
inferno9–40.1817%4 Apr
nuke5–90.0518%4 Apr
nuke5–13-0.0118%21 Mar
mirage13–110.028%21 Mar
inferno4–130.0221%19 Mar

Match data via Leetify.

Recent teammates

Milestones

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