KanKa

KanKa — CS2 Stats

FI76561198048651485[U:1:88385757]Steam profile ↗1 game ban

3,941Tracked matches33%Win rate2020Tracked since
5,466Hours in CS
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating18,035Purple band · top ~16.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 18,035 +830 29 Aug – 11 Oct · 22 days played
16,68920,984peak 20,98429 Aug11 Oct
21,304Peak Premier in tracked matches
20Days played since 2026-08-29

Premier CS Rating

  • 2,949 below peak (20,984)
  • +1,346 over 30 days · improving
  • Next: Pink band at 20,000 — 1,965 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-30
  • Purple band first seen 2026-08-29

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches144——
Win rate40%——
K/D0.99——
Headshot %40%——

Measured 10 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate37.9%44.3%46.9%9.0% short
Shot accuracy13.9%11.9%13.0%above
Kill/death ratio1.021.031.080.06 short
Match win rate44.5%45.2%46.7%2.2% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKanKaPREMIER18,035 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning69
Utility26

0–100 skill scores via Leetify.

Recent form

COLD37–60–3Last 10037%Win rateWWLLLLLLWL

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · −2.9pp headshot accuracy · +104ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 612ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 687ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 635ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.8
Utility2.6
Positioning6.9
Opening Duels5.7

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

donk

Plays most like donk 75% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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. 596ms 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

Aim6.8
Positioning6.9
Utility2.6
Mechanics6.6
Opening Duels6.2
Win Impact0.0

Composite 5.4/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time621ms+26ms
first ⅓ avg 595ms → last ⅓ avg 621ms
Headshot accuracy16.1%+2.0%
first ⅓ avg 14.1% → last ⅓ avg 16.1%

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 · 7–13 · mirage, 6 Oct →
41%Best headshot accuracy · 7–13 · dust2, 5 Oct →
422msFastest reaction time · 7–13 · anubis, 28 Sept →
13–2Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 64% over 11dust2Weakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA2212–1055%0.02
mirageD175–1229%0.02
dust2D162–1413%-0.02
cacheD165–1131%0.01
infernoA117–464%0.03
anubisB105–550%-0.00
ancientD71–614%-0.00
vertigo—10–10%-0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

241,323Lifetime kills
1.02K/D
12,175Matches
44.5%Match win rate
37.9%Headshot %
13.9%Shot accuracy · Top 50% of Purple band
34,366MVPs
5,466Hours (in match)
17,882Bombs planted
2,989Bombs defused

Most-used weapons

AK-4787,026
AWP20,902
Glock-1812,668
FAMAS4,753
MAC-104,472
Tec-94,056

Lifetime map wins

25,627inferno
18,323nuke
9,936train
4,954cbble
4,848dust2
3,084vertigo
995office
152lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.7%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.4%Spray accuracy
79.7%Counter-strafing
9.2°Preaim
596msReaction time
56.6%T opening success
53.1%CT opening success
0.39Enemies flashed / flash
1.5%Flash assists
10.46HE damage / grenade
1.44Flashes / 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. 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 0.3891 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 16 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
mirage13–90.1020%11 Oct →
nuke13–2-0.0110%11 Oct →
anubis9–13-0.0120%11 Oct →
mirage3–13-0.0814%11 Oct →
mirage9–130.0224%10 Oct →
nuke2–9-0.220%9 Oct →
vertigo1–9-0.1614%9 Oct →
dust210–13-0.039%8 Oct →
inferno16–14-0.0314%8 Oct →
cache9–130.0018%8 Oct →
cache5–13-0.0110%7 Oct →
mirage13–30.0417%7 Oct →
dust25–13-0.0116%7 Oct →
nuke13–50.1115%7 Oct →
ancient8–130.0117%7 Oct →
mirage7–130.1214%6 Oct →
inferno13–90.019%6 Oct →
dust27–13-0.0613%6 Oct →
dust210–130.0021%6 Oct →
dust27–130.0141%5 Oct →
mirage5–130.018%5 Oct →
nuke9–13-0.0023%5 Oct →
cache10–13-0.029%5 Oct →
anubis13–100.0213%4 Oct →
dust23–13-0.0315%4 Oct →
cache13–60.0224%4 Oct →
dust213–5-0.0217%4 Oct →
nuke8–130.0613%4 Oct →
mirage8–13-0.0412%4 Oct →
nuke13–40.0614%4 Oct →
dust29–130.0726%4 Oct →
nuke6–13-0.0322%3 Oct →
inferno8–130.0021%1 Oct →
cache13–50.0616%1 Oct →
mirage9–130.0010%1 Oct →
nuke13–9-0.0120%1 Oct →
dust212–160.0123%1 Oct →
nuke7–130.0811%30 Sept →
inferno16–140.0823%30 Sept →
dust28–13-0.0820%30 Sept →
cache13–8-0.0520%30 Sept →
inferno6–130.0718%30 Sept →
anubis5–13-0.0115%30 Sept →
mirage11–130.0212%30 Sept →
ancient4–13-0.0411%30 Sept →
dust210–13-0.0719%29 Sept →
nuke13–100.078%29 Sept →
cache7–13-0.027%29 Sept →
anubis7–13-0.0411%28 Sept →
nuke13–60.0012%28 Sept →
nuke13–5-0.0012%27 Sept →
cache13–20.0912%27 Sept →
cache7–130.0412%27 Sept →
nuke5–13-0.059%27 Sept →
inferno13–110.058%27 Sept →
anubis13–9-0.0112%27 Sept →
mirage11–13-0.0318%26 Sept →
nuke13–60.0415%26 Sept →
cache10–130.0210%26 Sept →
mirage13–110.069%26 Sept →
ancient11–130.0312%25 Sept →
nuke13–60.036%25 Sept →
ancient13–70.0417%25 Sept →
mirage16–120.0712%25 Sept →
inferno13–50.0111%25 Sept →
nuke2–13-0.0318%25 Sept →
anubis4–13-0.0410%25 Sept →
mirage11–130.0218%25 Sept →
cache10–130.0612%24 Sept →
anubis13–110.0517%24 Sept →
nuke4–130.0114%24 Sept →
cache11–13-0.0113%24 Sept →
mirage9–13-0.0117%24 Sept →
mirage12–16-0.0221%24 Sept →
nuke15–150.0610%23 Sept →
cache3–13-0.0112%23 Sept →
mirage13–100.0218%23 Sept →
dust23–13-0.094%23 Sept →
inferno9–13-0.023%23 Sept →
ancient8–130.038%23 Sept →
dust25–13-0.0211%23 Sept →
nuke14–160.0516%23 Sept →
ancient8–13-0.017%23 Sept →
dust26–13-0.0210%23 Sept →
nuke13–60.1017%23 Sept →
ancient15–15-0.066%21 Sept →
inferno13–5-0.0011%21 Sept →
cache13–30.0217%21 Sept →
anubis13–90.0520%21 Sept →
dust213–110.1124%21 Sept →
mirage10–13-0.0315%21 Sept →
dust21–13-0.1016%21 Sept →
inferno13–70.0518%21 Sept →
anubis13–11-0.0313%20 Sept →
inferno14–160.1213%20 Sept →
nuke13–60.0616%20 Sept →
anubis10–13-0.0017%20 Sept →
cache15–15-0.0023%20 Sept →
nuke13–5-0.009%20 Sept →
cache6–13-0.0319%20 Sept →

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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