bekky

bekky — CS2 Stats

76561198982622582[U:1:1022356854]Steam profile ↗

912Tracked matches43%Win rate2022Tracked since
CSDB Rating4.3 Developing
Premier CS Rating21,231Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#11656 of 34979 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGbekkyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,231 · Pink bandcsdb.gg/stats

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Performance scores

Aim46
Positioning35
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWLWLWLLWLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.6
Aggression1.3
Utility6.0
Positioning3.5
Opening Duels0.0
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.

Your pro match

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 655ms 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

Aim4.6
Positioning3.5
Utility6.0
Mechanics6.3
Opening Duels0.0
Win Impact2.8

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time642ms+38ms
first ⅓ avg 604ms → last ⅓ avg 642ms
Headshot accuracy12.1%+0.7%
first ⅓ avg 11.4% → last ⅓ avg 12.1%

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.

Highlights

0.13Best rating — inferno 9–1
131Biggest win — inferno
7Longest win streak
98In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 64% over 14anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2213959%-0.02
infernoB178947%0.00
nukeA159660%0.00
mirageA149564%-0.01
ancientB126650%0.00
anubisD93633%-0.01
cacheC73443%-0.02
overpass43175%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

136Matches
49%Win rate
1.35Avg K/D
83.7ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust22650%1.3316.9
Mirage2454%1.1317.3
Inferno1338%1.1217.1
Ancient1040%1.0617.7
Anubis757%1.3016.0
Nuke450%1.6218.0
Overpass250%1.4720.5

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.

11.9%Headshot accuracy
31.5%Accuracy (enemy spotted)
36.9%Spray accuracy
78.2%Counter-strafing
10.8°Preaim
655msReaction time
18.2%T opening success
28.9%CT opening success
0.62Enemies flashed / flash
6.6%Flash assists
7.88HE damage / grenade
8.99Flashes / 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 11.8893% — 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 18.2266% — 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.

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

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–50.026%29 Aug
inferno1–90.039%27 Aug
dust213–8-0.017%27 Aug
anubis7–13-0.027%27 Aug
dust213–90.0313%27 Aug
mirage5–13-0.0814%27 Aug
inferno6–130.029%27 Aug
anubis13–50.0113%27 Aug
mirage3–13-0.030%23 Aug
inferno10–130.0313%23 Aug
ancient2–13-0.098%23 Aug
nuke13–40.0515%23 Aug
cache13–160.0115%18 Aug
nuke13–2-0.0217%16 Aug
cache5–130.0215%16 Aug
nuke13–7-0.022%16 Aug
anubis6–13-0.055%14 Aug
dust26–13-0.0717%10 Aug
mirage13–100.035%10 Aug
inferno14–16-0.0113%3 Aug
dust213–8-0.0721%2 Aug
dust28–13-0.0712%2 Aug
inferno8–13-0.0319%1 Aug
nuke8–13-0.125%1 Aug
mirage13–50.0618%1 Aug
nuke11–13-0.018%30 Jul
cache13–11-0.048%26 Jul
inferno16–14-0.0719%26 Jul
dust213–9-0.0315%26 Jul
cache14–16-0.0222%26 Jul
ancient13–7-0.0419%23 Jul
ancient13–7-0.0213%22 Jul
ancient13–90.0317%22 Jul
inferno13–1-0.0113%22 Jul
mirage13–8-0.0120%20 Jul
cache9–13-0.0921%19 Jul
nuke13–7-0.0113%12 Jul
cache13–6-0.0211%12 Jul
cache13–5-0.0110%12 Jul
dust20–13-0.080%12 Jul
dust213–10-0.0120%10 Jul
mirage13–70.0520%5 Jul
inferno2–130.0017%5 Jul
dust213–110.0023%5 Jul
mirage13–9-0.0216%5 Jul
ancient10–13-0.0412%5 Jul
mirage9–13-0.0614%5 Jul
ancient7–130.0110%4 Jul
dust213–4-0.009%4 Jul
mirage13–9-0.038%4 Jul
overpass13–1-0.0015%4 Jul
anubis13–50.0023%4 Jul
inferno13–80.0215%24 Jun
anubis8–13-0.0810%24 Jun
anubis4–13-0.0517%23 Jun
inferno3–130.005%22 Jun
mirage10–13-0.039%21 Jun
ancient16–14-0.009%20 Jun
inferno9–10.1330%20 Jun
inferno13–30.017%14 Jun
overpass13–11-0.0219%13 Jun
ancient13–11-0.0110%13 Jun
nuke13–11-0.0511%11 Jun
nuke16–140.0813%11 Jun
dust212–16-0.0615%7 Jun
nuke13–60.0717%31 May
overpass7–13-0.0118%31 May
dust213–100.0618%27 May
dust24–130.0219%27 May
anubis13–60.046%27 May
dust27–13-0.0315%26 May
inferno8–8-0.0725%15 May
inferno13–4-0.018%8 May
ancient11–130.1118%7 May
mirage13–7-0.0411%1 May
mirage13–80.015%26 Apr
dust211–13-0.0116%20 Apr
dust215–15-0.0621%19 Apr
dust213–90.0320%19 Apr
nuke9–130.019%16 Apr
ancient7–130.0811%16 Apr
ancient11–130.0114%15 Apr
nuke13–30.087%12 Apr
dust24–13-0.0411%9 Apr
anubis9–130.0513%5 Apr
nuke13–50.1015%5 Apr
mirage6–130.017%2 Apr
ancient13–8-0.010%2 Apr
dust213–11-0.035%2 Apr
inferno16–12-0.018%31 Mar
inferno11–130.006%28 Mar
dust213–2-0.0212%27 Mar
dust213–8-0.047%27 Mar
nuke4–13-0.0511%25 Mar
anubis11–13-0.0010%24 Mar
nuke8–13-0.026%24 Mar
nuke5–13-0.018%24 Mar
dust213–80.0812%24 Mar
overpass13–80.0512%20 Mar
inferno13–90.0012%14 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 →