Råd

Råd — CS2 Stats

DK76561197985562728[U:1:25297000]Steam profile ↗

654Tracked matches50%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGRådFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning45
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY5842Last 10058%Win rateLWLWLLWWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim6.8
Aggression3.1
Utility4.6
Positioning4.5
Opening Duels0.1
Clutch4.0

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 81% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 70% 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

Aim6.8
Positioning4.5
Utility4.6
Mechanics4.4
Opening Duels0.9
Win Impact5.0

Composite 4.9/10 (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 -0.01 → last ⅓ avg -0.01
Reaction time506ms−43ms
first ⅓ avg 549ms → last ⅓ avg 506ms
Headshot accuracy18.2%+6.1%
first ⅓ avg 12.1% → last ⅓ avg 18.2%

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 — dust2 13–3
130Biggest win — inferno
9Longest win streak
66In matches decided by ≤2 rounds
45Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA24141058%0.00
nukeB23121152%-0.01
anubisC125742%-0.02
ancientA85363%0.01
mirageA74357%0.00
trainS75271%0.00
vertigoS64267%-0.01
overpassS54180%-0.01
cache43175%-0.00
dust242250%0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,654Matches
52%Win rate
1.00Avg K/D
72.4ADR
36%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke6455%1.0414.7
Anubis6250%0.8212.0
Inferno6260%0.9715.3
Cache2854%0.7712.0
Ancient2544%1.2416.7
Mirage1753%0.9413.9
Train1573%1.2115.1
Overpass875%1.0813.3

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.

19.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.5%Spray accuracy
69.8%Counter-strafing
11.0°Preaim
498msReaction time
24.0%T opening success
37.0%CT opening success
0.40Enemies flashed / flash
4.8%Flash assists
7.34HE damage / grenade
5.67Flashes / 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 0.3965 — below the 0.5 mark we flag

    Grenade Lineups
  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 24.0254% — 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.

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

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0124%28 Aug
cache13–60.0415%28 Aug
nuke6–13-0.0417%24 Aug
inferno13–40.0138%24 Aug
inferno12–16-0.0217%22 Aug
anubis10–13-0.0218%16 Aug
cache13–5-0.0417%12 Aug
vertigo13–30.0110%12 Aug
nuke13–40.0225%12 Aug
nuke13–90.0522%10 Aug
anubis9–130.0122%7 Aug
inferno13–40.0816%9 Jul
cache13–50.0121%9 Jul
nuke13–50.1023%9 Jul
nuke13–3-0.0022%8 Jul
inferno13–90.0414%8 Jul
nuke6–13-0.0216%8 Jul
nuke13–16-0.0118%8 Jul
inferno11–13-0.0815%7 Jul
nuke7–13-0.0320%7 Jul
cache9–13-0.0216%5 Jul
anubis13–6-0.0015%4 Jul
anubis13–10-0.0410%26 Jun
anubis22–19-0.0429%25 Jun
nuke13–8-0.034%25 Jun
inferno11–13-0.0119%22 Jun
anubis10–13-0.0723%20 Jun
nuke9–13-0.0110%20 Jun
mirage11–13-0.0231%8 Jun
nuke10–130.0220%7 Jun
inferno13–16-0.0325%7 Jun
nuke13–8-0.039%18 Jul
overpass13–3-0.015%18 Jul
train13–100.0223%18 Jul
overpass13–9-0.0416%18 Jul
nuke13–90.0214%17 Jul
overpass16–12-0.0417%17 Jul
train13–80.0126%17 Jul
inferno13–40.0624%17 Jul
overpass13–10.0720%17 Jul
anubis10–13-0.0814%15 Jul
mirage13–11-0.0223%15 Jul
train13–11-0.0517%15 Jul
ancient11–13-0.0118%14 Jul
ancient13–40.0218%14 Jul
inferno16–19-0.0822%13 Jul
train13–16-0.0518%13 Jul
ancient13–100.0617%8 Jul
mirage13–9-0.0221%6 Jul
anubis6–13-0.0523%6 Jul
inferno13–90.0222%5 Jul
mirage13–110.0416%5 Jul
anubis13–100.0321%4 Jul
inferno9–13-0.0212%30 Jun
train9–13-0.069%29 Jun
train13–20.0716%24 Jun
inferno13–00.0320%24 Jun
nuke13–60.0220%29 May
dust213–30.1321%29 May
nuke13–30.1224%29 May
ancient13–20.1010%29 May
train13–40.0625%29 May
nuke11–16-0.0216%18 May
inferno16–13-0.028%18 May
vertigo16–10-0.0211%18 May
nuke16–9-0.065%18 May
inferno22–180.0113%17 May
nuke6–16-0.117%13 May
vertigo16–19-0.0017%13 May
inferno22–190.0411%13 May
inferno9–15-0.0613%12 May
ancient16–14-0.0320%12 May
overpass8–16-0.045%12 May
dust29–16-0.0515%17 Apr
ancient11–16-0.053%17 Apr
inferno22–18-0.008%17 Apr
vertigo11–16-0.0120%17 Apr
inferno16–130.0616%16 Apr
nuke14–16-0.0316%16 Apr
ancient16–110.0413%16 Apr
inferno16–70.0116%16 Apr
ancient11–16-0.044%15 Apr
inferno16–110.0418%15 Apr
anubis16–19-0.0410%15 Apr
vertigo16–13-0.0419%15 Apr
nuke16–8-0.0314%15 Apr
inferno10–16-0.026%14 Apr
mirage8–160.0526%14 Apr
anubis16–110.0310%14 Apr
vertigo19–17-0.0217%14 Apr
mirage3–16-0.067%14 Apr
inferno13–16-0.0213%14 Apr
inferno13–160.037%13 Apr
dust216–14-0.0112%13 Apr
nuke16–120.008%13 Apr
inferno16–9-0.048%13 Apr
dust29–16-0.045%12 Apr
nuke11–16-0.054%12 Apr
mirage16–90.0713%12 Apr
nuke10–16-0.0517%12 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
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