kona

kona — CS2 Stats

VN76561198202360995[U:1:242095267]Steam profile ↗✓ No bans

642Tracked matches62%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating15,411Purple band · top ~26.8% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Apr 2026 (186 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: 15,411 +3,463 10 Feb – 9 Apr · 28 days played
11,28915,411peak 15,41110 Feb9 Apr
15,411Peak Premier in tracked matches
28Days played since 2026-02-10

Premier CS Rating

  • At peak — 15,411
  • +1,892 over 30 days · improving
  • Next: Pink band at 20,000 — 4,589 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGkonaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER15,411 · Purple bandcsdb.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

Aim58
Positioning37
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWWLLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −3.2pp headshot accuracy · +42ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 795ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 736ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 715ms

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).

Aim5.8
Utility5.4
Positioning3.7
Opening Duels1.6

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 720ms 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

Aim5.8
Positioning3.7
Utility5.4
Mechanics6.4
Opening Duels1.3
Win Impact9.0

Composite 5.3/10 (Developing), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time705ms−51ms
first ⅓ avg 757ms → last ⅓ avg 705ms
Headshot accuracy17.5%+3.1%
first ⅓ avg 14.4% → last ⅓ avg 17.5%

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

0.12Best match rating · 13–9 · inferno, 12 Mar →
32%Best headshot accuracy · 13–4 · mirage, 12 Mar →
453msFastest reaction time · 2–13 · inferno, 28 Feb →
13–1Biggest win · anubis, 1 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
6–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 58% over 12ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA3218–1456%-0.01
infernoB136–746%0.01
nukeA127–558%-0.02
ancientC125–742%-0.03
anubisA116–555%-0.03
dust2C94–544%-0.00
overpassA95–456%-0.01
vertigo—11–0100%0.03
office—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

89Matches
47%Win rate
0.98Avg K/D
—ADR
32%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLW

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.

16.9%Headshot accuracy
32.4%Accuracy (enemy spotted)
40.3%Spray accuracy
78.8%Counter-strafing
8.7°Preaim
720msReaction time
38.1%T opening success
32.7%CT opening success
0.58Enemies flashed / flash
5.5%Flash assists
13.13HE damage / grenade
7.48Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 719.7193ms — above the 700ms 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 38.1287% — below the 40% mark we flag

Spend your practice time on Ancient

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–100.0310%9 Apr →
inferno13–80.0517%9 Apr →
mirage13–90.0218%4 Apr →
dust25–13-0.0310%2 Apr →
mirage13–16-0.0617%2 Apr →
nuke13–110.0318%24 Mar →
mirage2–13-0.0614%21 Mar →
ancient13–60.0221%21 Mar →
mirage13–6-0.0421%21 Mar →
ancient9–13-0.0015%21 Mar →
dust22–13-0.0817%21 Mar →
nuke13–10-0.0419%19 Mar →
nuke9–13-0.0426%17 Mar →
overpass8–1-0.0130%17 Mar →
mirage13–10-0.0713%17 Mar →
dust213–9-0.0714%16 Mar →
ancient13–9-0.0719%16 Mar →
mirage11–13-0.0121%16 Mar →
ancient1–13-0.0513%16 Mar →
dust213–40.0621%15 Mar →
nuke13–11-0.019%12 Mar →
mirage13–10-0.0118%12 Mar →
overpass8–13-0.0314%12 Mar →
mirage13–4-0.0232%12 Mar →
inferno13–90.1213%12 Mar →
dust26–130.0616%12 Mar →
dust213–70.0015%12 Mar →
ancient11–13-0.0215%10 Mar →
mirage13–110.0117%10 Mar →
mirage15–15-0.0315%9 Mar →
anubis13–4-0.0322%8 Mar →
mirage13–40.1023%8 Mar →
nuke11–13-0.0114%8 Mar →
inferno11–13-0.0414%8 Mar →
anubis4–13-0.0831%8 Mar →
mirage8–130.0218%8 Mar →
mirage13–6-0.036%8 Mar →
inferno13–110.0319%8 Mar →
mirage8–13-0.0721%6 Mar →
nuke13–8-0.0614%6 Mar →
inferno11–13-0.0120%6 Mar →
anubis6–13-0.046%6 Mar →
ancient13–11-0.0424%6 Mar →
ancient16–130.0415%5 Mar →
nuke13–10-0.0217%5 Mar →
inferno13–60.0427%5 Mar →
dust213–50.0816%5 Mar →
anubis13–20.0011%5 Mar →
anubis4–13-0.0423%4 Mar →
mirage13–90.0213%3 Mar →
mirage2–13-0.0616%3 Mar →
anubis13–70.0418%3 Mar →
overpass13–70.0211%3 Mar →
mirage13–90.0121%3 Mar →
overpass13–20.0216%2 Mar →
dust29–13-0.0014%2 Mar →
inferno11–130.0121%2 Mar →
mirage10–13-0.0619%2 Mar →
inferno13–80.0414%1 Mar →
anubis13–1-0.0319%1 Mar →
nuke10–130.0312%1 Mar →
mirage2–13-0.095%28 Feb →
inferno2–13-0.048%28 Feb →
inferno11–13-0.0217%28 Feb →
overpass8–13-0.0016%28 Feb →
overpass13–16-0.0314%28 Feb →
anubis13–10-0.0412%24 Feb →
nuke6–13-0.1016%24 Feb →
dust211–13-0.0312%24 Feb →
mirage13–10.0919%24 Feb →
mirage11–130.0514%24 Feb →
anubis16–13-0.0417%22 Feb →
inferno13–7-0.0313%22 Feb →
mirage16–130.0011%22 Feb →
ancient13–80.0317%21 Feb →
overpass13–90.0512%21 Feb →
mirage7–130.017%21 Feb →
mirage5–13-0.0715%21 Feb →
overpass6–13-0.0413%21 Feb →
mirage8–13-0.0122%21 Feb →
office9–13-0.0717%19 Feb →
anubis14–16-0.088%19 Feb →
inferno8–130.0120%19 Feb →
mirage13–20.0515%18 Feb →
ancient8–13-0.0819%18 Feb →
ancient8–13-0.0516%18 Feb →
inferno5–13-0.078%18 Feb →
anubis8–13-0.0211%18 Feb →
ancient4–9-0.0423%15 Feb →
mirage13–40.0216%15 Feb →
mirage13–8-0.0519%15 Feb →
nuke3–13-0.0313%15 Feb →
nuke13–2-0.023%15 Feb →
overpass13–4-0.0212%15 Feb →
mirage13–1-0.0516%11 Feb →
ancient0–5-0.060%11 Feb →
mirage13–100.0925%11 Feb →
nuke13–3-0.038%11 Feb →
mirage7–90.0521%11 Feb →
mirage13–110.0418%10 Feb →

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 →

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