KanKa

KanKa — CS2 Stats

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

3,709Tracked matches21%Win rate2020Tracked since
5,373Hours in CS
CSDB Rating4.8 DevelopingHybrid Rifler
Premier CS Rating17,205Purple band · top ~19.6% of ranked players (population est.)
CSDB Leaderboard#13841 of 24887 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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%44.1%47.2%9.4% short
Shot accuracy14.1%11.4%12.7%above
Kill/death ratio1.021.031.090.06 short
Match win rate44.6%45.2%46.6%2.0% 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.GGKanKaPREMIER17,205 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning61
Utility24

0–100 skill scores via Leetify.

Recent form

COLD34642Last 10034%Win rateLLLLLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression8.2
Utility2.4
Positioning6.1
Opening Duels3.4

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 84% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim6.6
Positioning6.1
Utility2.4
Mechanics6.0
Opening Duels3.4
Win Impact0.0

Composite 4.8/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time583ms−4ms
first ⅓ avg 586ms → last ⅓ avg 583ms
Headshot accuracy12.3%−1.8%
first ⅓ avg 14.1% → last ⅓ avg 12.3%

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.

Highlights

0.15Best rating — ancient 13–8
131Biggest win — inferno
5Longest win streak
L12Current streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 50% over 8anubisWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
ancientC2281436%0.02
infernoD2171433%0.02
nukeC167944%0.01
cacheC1661038%0.03
anubisD1521313%0.03
mirageB84450%0.01
dust22020%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

237,093Lifetime kills
1.02K/D
11,931Matches
44.6%Match win rate
37.9%Headshot %
14.1%Shot accuracy · Top 50% of Purple band
33,741MVPs
5,373Hours (in match)
17,529Bombs planted
2,931Bombs defused

Most-used weapons

AK-4785,395
AWP20,618
Glock-1812,413
FAMAS4,738
MAC-104,395
UMP-454,024

Lifetime map wins

25,202inferno
17,723nuke
9,936train
4,954cbble
4,668dust2
3,083vertigo
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.

12.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
44.7%Spray accuracy
77.0%Counter-strafing
10.9°Preaim
580msReaction time
34.9%T opening success
52.0%CT opening success
0.37Enemies flashed / flash
2.8%Flash assists
12.51HE damage / grenade
1.56Flashes / 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 12.3346% — below the 15% mark we flag

    Aim Training
  2. 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 0.366 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 34.9451% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.109%28 Aug
anubis7–130.0010%28 Aug
inferno0–13-0.028%28 Aug
nuke5–13-0.0712%27 Aug
ancient3–130.0015%27 Aug
anubis9–13-0.0411%27 Aug
nuke7–130.056%27 Aug
inferno4–13-0.026%27 Aug
nuke10–130.1212%27 Aug
ancient2–130.028%27 Aug
inferno10–130.049%26 Aug
inferno11–13-0.0319%26 Aug
anubis15–150.0211%26 Aug
nuke10–130.0516%24 Aug
ancient13–80.0614%24 Aug
inferno11–13-0.0414%24 Aug
ancient7–130.1318%24 Aug
cache13–20.0417%24 Aug
nuke13–90.1019%24 Aug
mirage6–13-0.018%24 Aug
nuke6–13-0.0113%24 Aug
ancient9–13-0.0218%24 Aug
nuke3–13-0.0312%23 Aug
cache4–130.0010%23 Aug
ancient13–70.0711%23 Aug
inferno13–90.0811%23 Aug
inferno9–130.028%23 Aug
anubis9–13-0.0519%23 Aug
ancient16–13-0.0610%23 Aug
inferno3–13-0.0413%23 Aug
ancient6–13-0.0113%23 Aug
inferno8–13-0.0111%23 Aug
nuke1–130.0316%23 Aug
cache3–13-0.049%22 Aug
anubis5–130.0115%22 Aug
cache13–110.0418%22 Aug
inferno13–80.0913%22 Aug
ancient2–130.0310%20 Aug
cache13–100.0511%20 Aug
mirage4–13-0.0515%20 Aug
anubis13–110.0825%20 Aug
cache13–110.1315%20 Aug
inferno11–130.0722%20 Aug
inferno9–130.0521%20 Aug
inferno4–13-0.0114%20 Aug
cache10–130.0211%20 Aug
anubis9–130.0812%20 Aug
anubis9–130.0411%19 Aug
ancient7–13-0.0514%19 Aug
mirage13–110.0613%19 Aug
cache8–130.076%19 Aug
nuke13–110.0219%19 Aug
ancient13–80.1121%19 Aug
cache4–13-0.0018%19 Aug
ancient11–130.0215%18 Aug
inferno13–90.0810%18 Aug
inferno9–13-0.0219%18 Aug
cache15–150.034%18 Aug
anubis7–130.0712%17 Aug
ancient10–13-0.0415%17 Aug
mirage13–80.0512%17 Aug
mirage16–120.0514%16 Aug
anubis14–16-0.0418%16 Aug
dust23–13-0.0710%16 Aug
cache8–130.028%16 Aug
nuke13–11-0.0213%16 Aug
ancient6–13-0.0527%16 Aug
inferno13–80.027%16 Aug
cache2–13-0.0414%16 Aug
anubis13–70.1116%16 Aug
ancient13–100.0813%16 Aug
inferno13–11-0.0210%16 Aug
nuke13–3-0.0216%16 Aug
ancient13–40.0311%16 Aug
cache9–130.0614%16 Aug
dust22–130.0027%15 Aug
inferno1–13-0.0313%15 Aug
ancient10–13-0.0113%15 Aug
anubis10–130.1116%14 Aug
cache9–130.0514%14 Aug
ancient13–9-0.0216%14 Aug
inferno13–10.1014%14 Aug
nuke13–6-0.0111%14 Aug
mirage8–13-0.0513%14 Aug
inferno8–130.0219%14 Aug
anubis11–13-0.0112%14 Aug
nuke13–7-0.0018%13 Aug
ancient13–80.1516%13 Aug
mirage16–120.027%13 Aug
ancient10–130.0614%13 Aug
inferno13–70.0724%13 Aug
cache16–140.036%13 Aug
anubis10–130.078%13 Aug
mirage9–13-0.0214%12 Aug
cache13–40.0817%12 Aug
ancient10–13-0.0210%11 Aug
nuke8–13-0.0310%11 Aug
ancient13–160.0414%11 Aug
anubis6–13-0.0524%11 Aug
nuke13–10.0615%11 Aug

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 →