sKaR#NurDerBSC

sKaR#NurDerBSC — CS2 Stats

76561197960893937[U:1:628209]Steam profile ↗✓ No bans

1,260Tracked matches48%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating17,567Purple band · top ~18.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 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: 17,567 +61 1 Jul – 30 Oct · 19 days played
16,79919,034peak 19,0341 Jul30 Oct
19,326Peak Premier in tracked matches
44Days played since 2026-07-01

Premier CS Rating

  • 1,467 below peak (19,034)
  • -318 over 30 days · steady
  • Next: Pink band at 20,000 — 2,433 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGsKaR#NurDerBSCPREMIER17,567 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning48
Utility72

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateLLWLWWLLLL

Last 10 vs previous 10: −10pp win rate · +0.05 avg rating · +3.0pp headshot accuracy · −4ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

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: Support — Utility contribution stands above the rest of this profile (+3.4 against its own average).

Aim5.5
Utility7.2
Positioning4.8
Opening Duels0.5
Clutch2.6

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

iM

Plays most like iM 67% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 57% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms 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

Aim5.5
Positioning4.8
Utility7.2
Mechanics4.9
Opening Duels3.4
Win Impact4.4

Composite 5.2/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time573ms−81ms
first ⅓ avg 654ms → last ⅓ avg 573ms
Headshot accuracy18.7%+1.5%
first ⅓ avg 17.2% → last ⅓ avg 18.7%

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

0.09Best match rating · 13–6 · cache, 29 Oct →
55%Best headshot accuracy · 0–13 · ancient, 15 Jul →
352msFastest reaction time · 1–13 · cache, 2 Aug →
13–1Biggest win · mirage, 4 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 63% over 16dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%-0.04
cacheA1810–856%-0.02
nukeA1610–663%-0.03
ancientD124–833%-0.02
dust2D113–827%-0.01
anubisD103–730%-0.02
mirageD62–433%-0.06
fachwerk—21–150%-0.02
train—10–10%-0.04
vertigo—10–10%0.03
overpass—11–0100%-0.01
boulder—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

100Matches
47%Win rate
0.68Avg K/D
59.9ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Cache450%0.728.8
Ancient450%0.8010.0
Inferno367%0.819.7
Nuke250%0.639.0
Dust22100%0.9212.5
Anubis1100%0.8214.0

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.

18.7%Headshot accuracy
30.2%Accuracy (enemy spotted)
33.2%Spray accuracy
72.2%Counter-strafing
10.2°Preaim
578msReaction time
57.3%T opening success
26.1%CT opening success
0.67Enemies flashed / flash
6.0%Flash assists
12.79HE damage / grenade
12.02Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.1127% — below the 40% mark we flag

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.

27% win rate across 11 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
inferno11–130.0110%30 Oct →
dust211–130.0518%29 Oct →
cache13–60.0922%29 Oct →
ancient4–13-0.0717%29 Oct →
ancient13–30.0324%28 Oct →
cache13–70.0522%28 Oct →
train3–13-0.0415%25 Oct →
vertigo5–130.0329%25 Oct →
anubis4–13-0.0518%25 Oct →
ancient9–13-0.0421%24 Oct →
overpass7–1-0.0114%24 Oct →
inferno6–13-0.0711%23 Oct →
nuke15–15-0.0611%23 Oct →
dust25–13-0.043%23 Oct →
anubis7–13-0.0813%22 Oct →
ancient11–13-0.0425%22 Oct →
cache13–9-0.0322%22 Oct →
inferno13–8-0.0411%22 Oct →
inferno6–13-0.0235%22 Oct →
nuke13–8-0.0321%21 Oct →
inferno5–3-0.090%21 Oct →
dust213–100.0124%15 Oct →
inferno13–20.0815%15 Oct →
anubis8–13-0.0315%13 Oct →
ancient16–140.0321%13 Oct →
nuke13–90.0420%12 Oct →
inferno16–13-0.0015%12 Oct →
nuke13–90.0240%12 Oct →
mirage8–13-0.0625%11 Oct →
cache13–16-0.0614%8 Oct →
mirage1–13-0.1028%8 Oct →
nuke13–11-0.0418%8 Oct →
mirage13–8-0.0322%8 Oct →
inferno8–13-0.0827%8 Oct →
inferno7–13-0.0525%8 Oct →
dust211–13-0.0324%6 Oct →
inferno6–13-0.0824%6 Oct →
mirage13–1-0.0029%4 Oct →
nuke2–13-0.0823%4 Oct →
cache13–1-0.0225%4 Oct →
inferno13–11-0.0019%3 Oct →
nuke4–13-0.0735%30 Sept →
nuke13–1-0.0028%30 Sept →
inferno13–9-0.0531%30 Sept →
dust25–13-0.0413%30 Sept →
cache2–13-0.0614%28 Sept →
nuke13–8-0.0222%28 Sept →
mirage9–13-0.0513%27 Sept →
dust29–13-0.0315%26 Sept →
anubis6–13-0.0712%24 Sept →
anubis8–130.0225%21 Sept →
inferno10–130.0315%21 Sept →
anubis13–90.0420%20 Sept →
dust211–13-0.0323%16 Sept →
ancient13–110.0721%14 Sept →
inferno13–8-0.0616%13 Sept →
cache13–9-0.0110%13 Sept →
dust213–70.0723%13 Sept →
inferno13–6-0.0123%29 Aug →
nuke13–4-0.0615%29 Aug →
cache13–11-0.0621%15 Aug →
ancient6–13-0.0724%15 Aug →
fachwerk4–13-0.069%4 Aug →
cache13–8-0.0314%4 Aug →
ancient13–60.005%4 Aug →
ancient11–13-0.075%2 Aug →
dust26–13-0.0217%2 Aug →
cache1–13-0.0613%2 Aug →
mirage1–13-0.1043%2 Aug →
fachwerk13–70.0315%31 Jul →
nuke13–6-0.0223%31 Jul →
dust213–70.0518%31 Jul →
anubis13–40.0420%31 Jul →
anubis9–130.0218%24 Jul →
nuke11–130.0118%23 Jul →
nuke9–13-0.0620%20 Jul →
anubis13–11-0.0412%17 Jul →
ancient4–13-0.0311%17 Jul →
cache5–13-0.0519%17 Jul →
inferno11–13-0.0514%16 Jul →
cache13–8-0.0311%15 Jul →
cache12–120.0115%15 Jul →
ancient0–13-0.0455%15 Jul →
nuke1–7-0.0511%14 Jul →
ancient5–13-0.0716%14 Jul →
inferno1–13-0.0710%14 Jul →
cache13–9-0.0420%14 Jul →
nuke13–10-0.0116%10 Jul →
cache2–13-0.0610%10 Jul →
anubis7–13-0.0120%10 Jul →
inferno16–14-0.0416%9 Jul →
nuke13–60.0220%9 Jul →
cache3–13-0.0010%9 Jul →
boulder6–13-0.0711%9 Jul →
cache13–7-0.0111%7 Jul →
inferno13–90.0111%6 Jul →
cache1–13-0.026%6 Jul →
dust27–13-0.1222%3 Jul →
inferno3–13-0.0913%3 Jul →
inferno8–13-0.0722%1 Jul →

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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