Råd

Råd — CS2 Stats

DK76561197985562728[U:1:25297000]Steam profile ↗✓ No bans

821Tracked matches50%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

+158Tracked matches · now 821
0.0ppWin rate · 50.0% → 50.0%

Rating over time

49Days played since 2023-04-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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

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Performance scores

Aim76
Positioning51
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWWWLWLLLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −4.0pp headshot accuracy · +34ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 467ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 483ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 466ms

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 against its own average).

Aim7.6
Utility4.6
Positioning5.1
Opening Duels2.2
Clutch4.4

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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning5.1
Utility4.6
Mechanics5.0
Opening Duels2.4
Win Impact5.0

Composite 5.5/10 (Solid), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time491ms−48ms
first ⅓ avg 539ms → last ⅓ avg 491ms
Headshot accuracy18.2%+4.3%
first ⅓ avg 14.0% → 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.

Personal bests

0.13Best match rating · 13–3 · dust2, 29 May →
38%Best headshot accuracy · 13–4 · inferno, 24 Aug →
344msFastest reaction time · 13–4 · inferno, 24 Aug →
13–0Biggest win · inferno, 24 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
5–7In matches decided by ≤2 rounds
36Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2415–963%0.00
nukeA2212–1055%-0.01
anubisC145–936%-0.02
ancientA85–363%0.01
cacheA74–357%0.00
trainS75–271%0.00
mirageB63–350%0.00
vertigoA53–260%-0.01
overpassS54–180%-0.01
dust2—21–150%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,820Matches
53%Win rate
1.01Avg K/D
72.9ADR
37%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno11358%1.0315.2
Anubis10657%0.9012.9
Nuke9959%1.0614.8
Cache5553%0.9413.4
Ancient2544%1.2416.7
Mirage2348%0.8914.0
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.

18.4%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.1%Spray accuracy
72.4%Counter-strafing
9.6°Preaim
493msReaction time
35.3%T opening success
43.8%CT opening success
0.42Enemies flashed / flash
4.4%Flash assists
7.90HE damage / grenade
5.72Flashes / 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 0.4195 — 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 35.2817% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0318%21 Oct →
nuke13–5-0.0214%17 Oct →
inferno16–130.0417%14 Oct →
cache6–130.0011%2 Oct →
cache13–70.0222%1 Oct →
nuke11–13-0.0313%25 Sept →
anubis4–130.0114%25 Sept →
cache7–130.0111%23 Sept →
inferno9–13-0.0422%14 Sept →
mirage22–25-0.0021%2 Sept →
anubis4–13-0.0222%30 Aug →
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 →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.