c0nr

c0nr — CS2 Stats

DE76561198373541546[U:1:413275818]Steam profile ↗✓ No bans

2,175Tracked matches55%Win rate2020Tracked since
6,749Hours in CS4Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating20,919Top 50% of 205,052 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#68479 of 252240 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 days ago). 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: 20,919 -1,743 22 Aug – 13 Oct · 17 days played
20,21022,662peak 22,66222 Aug13 Oct
23,036Peak Premier in tracked matches
27Days played since 2026-08-22

Premier CS Rating

  • 1,743 below peak (22,662)
  • +578 over 30 days · improving
  • Next: Red band at 25,000 — 4,081 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate48.2%46.9%49.3%1.1% short
Shot accuracy14.4%13.0%13.4%above
Kill/death ratio0.951.081.120.18 short
Match win rate49.0%46.7%48.5%meets

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGc0nrPREMIER20,919 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim62
Positioning53
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateWWLWLTWWTL

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −3.8pp headshot accuracy · −62ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 512ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 625ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 656ms

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 (+1.3 against its own average).

Aim6.2
Utility4.3
Positioning5.3
Opening Duels2.3

Strong CT-side opener

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 618ms 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

Aim6.2
Positioning5.3
Utility4.3
Mechanics5.2
Opening Duels4.0
Win Impact6.7

Composite 5.5/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time652ms+14ms
first ⅓ avg 638ms → last ⅓ avg 652ms
Headshot accuracy25.6%−0.1%
first ⅓ avg 25.7% → last ⅓ avg 25.6%

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

0.28Best match rating · 9–1 · nuke, 1 Sept →
60%Best headshot accuracy · 13–5 · nuke, 14 Sept →
383msFastest reaction time · 8–13 · inferno, 13 Sept →
13–1Biggest win · cache, 22 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA6536–2955%0.01
dust2C104–640%-0.02
mirageA95–456%-0.03
infernoD62–433%-0.05
cacheA53–260%-0.01
ancient—21–150%-0.03
anubis—20–20%-0.04
vertigo—10–10%-0.08

Across the last 100 tracked matches.

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

Lifetime stats

133,781Lifetime kills
0.95K/D
8,426Matches
49.0%Match win rate · Top 50% of Pink band
48.2%Headshot % · Top 50% of Pink band
14.4%Shot accuracy · Top 50% of Pink band
25,525MVPs
2,683Hours (in match)
7,735Bombs planted
2,190Bombs defused

Most-used weapons

AK-4729,548
AWP21,358
SSG 085,997
MAC-103,738
MP93,217
Knife2,406

Lifetime map wins

26,981nuke
16,370lake
6,829dust2
4,401inferno
2,146vertigo
1,384train
1,168office
867cbble

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.

21.2%Headshot accuracy
31.3%Accuracy (enemy spotted)
38.2%Spray accuracy
73.3%Counter-strafing
9.9°Preaim
618msReaction time
44.5%T opening success
47.6%CT opening success
0.60Enemies flashed / flash
1.9%Flash assists
11.55HE damage / grenade
5.34Flashes / match

Recommended for you

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–2-0.0122%15 Oct →
mirage13–7-0.0726%13 Oct →
ancient4–13-0.0713%13 Oct →
nuke13–90.0224%13 Oct →
nuke1–9-0.1125%12 Oct →
nuke8–8-0.0024%12 Oct →
nuke9–20.1331%6 Oct →
nuke9–2-0.0725%5 Oct →
cache15–15-0.0724%2 Oct →
inferno10–13-0.0217%1 Oct →
nuke13–4-0.0512%30 Sept →
nuke8–80.0330%30 Sept →
nuke9–40.1733%30 Sept →
nuke3–9-0.0528%30 Sept →
nuke9–40.1024%30 Sept →
nuke6–9-0.0234%30 Sept →
nuke9–50.0723%30 Sept →
nuke9–50.1437%30 Sept →
nuke2–9-0.0433%30 Sept →
mirage13–30.0115%29 Sept →
nuke5–9-0.0637%29 Sept →
nuke9–30.1514%29 Sept →
nuke7–90.0226%29 Sept →
nuke7–90.0428%29 Sept →
nuke9–30.1941%29 Sept →
nuke9–60.0345%29 Sept →
nuke2–9-0.2327%29 Sept →
nuke9–40.1120%29 Sept →
nuke0–9-0.240%29 Sept →
mirage13–90.0340%19 Sept →
nuke3–9-0.1625%18 Sept →
nuke9–60.0716%18 Sept →
nuke9–60.0323%18 Sept →
nuke9–10.0722%18 Sept →
nuke9–30.0633%18 Sept →
nuke7–9-0.0226%18 Sept →
nuke9–70.1024%18 Sept →
nuke8–8-0.1318%18 Sept →
nuke6–9-0.058%18 Sept →
nuke9–60.0341%18 Sept →
anubis11–13-0.0910%18 Sept →
mirage13–90.0627%18 Sept →
dust211–13-0.0219%18 Sept →
dust213–11-0.0212%18 Sept →
inferno13–11-0.066%17 Sept →
dust213–70.0217%17 Sept →
inferno3–13-0.0819%15 Sept →
mirage1–13-0.0515%14 Sept →
nuke13–50.0860%14 Sept →
cache13–5-0.0320%14 Sept →
nuke3–9-0.1127%13 Sept →
dust27–13-0.0117%13 Sept →
inferno5–13-0.0711%13 Sept →
mirage7–13-0.0526%13 Sept →
mirage13–9-0.0513%13 Sept →
nuke13–5-0.0541%13 Sept →
dust213–9-0.0421%13 Sept →
inferno8–13-0.059%13 Sept →
nuke9–7-0.0421%12 Sept →
anubis10–130.0014%8 Sept →
nuke8–13-0.0321%8 Sept →
cache8–130.0019%7 Sept →
inferno13–10-0.0043%7 Sept →
dust216–140.0125%7 Sept →
dust24–13-0.0112%6 Sept →
cache13–6-0.0228%6 Sept →
nuke6–9-0.0315%6 Sept →
nuke6–9-0.1228%4 Sept →
nuke9–50.0213%4 Sept →
nuke9–40.2858%4 Sept →
nuke8–80.0346%4 Sept →
nuke4–9-0.1429%3 Sept →
nuke5–9-0.0524%3 Sept →
nuke9–70.0724%3 Sept →
nuke3–9-0.2117%3 Sept →
nuke9–60.0628%1 Sept →
nuke5–2-0.0823%1 Sept →
nuke4–9-0.1413%1 Sept →
nuke9–60.0326%1 Sept →
nuke9–10.2833%1 Sept →
nuke9–40.0337%1 Sept →
nuke9–20.0114%1 Sept →
nuke9–40.1421%1 Sept →
nuke3–9-0.1015%31 Aug →
mirage5–13-0.0725%30 Aug →
mirage3–13-0.0917%30 Aug →
vertigo4–9-0.0827%24 Aug →
nuke9–60.1329%24 Aug →
nuke3–90.0225%24 Aug →
nuke8–8-0.0533%24 Aug →
nuke9–20.2732%24 Aug →
dust210–13-0.0425%23 Aug →
dust26–13-0.0522%23 Aug →
nuke10–13-0.0539%22 Aug →
ancient13–110.0031%22 Aug →
nuke10–13-0.0513%22 Aug →
cache13–10.0818%22 Aug →
dust215–15-0.0613%22 Aug →
nuke9–40.1321%22 Aug →
nuke9–60.0229%22 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 →

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