Conker

Conker — CS2 Stats

AU76561198088280964[U:1:128015236]Steam profile ↗✓ No bans

794Tracked matches60%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating20,594Top 50% of 204,056 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#72204 of 251153 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (24 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: 20,594 +5,472 18 Jan – 15 Sept · 22 days played
15,12223,394peak 23,39418 Jan15 Sept
23,394Peak Premier in tracked matches
1,229Highest Faceit ELO seen on CSDB
53Days played since 2026-01-18

Faceit ELO

  • At peak — 1,229
  • Next: Level 7 at 1,351 — 122 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 2,800 below peak (23,394)
  • +1,059 over 30 days · improving
  • Next: Red band at 25,000 — 4,406 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.

Share this profile

CSDB.GGConkerPREMIER20,594 · Pink bandPEAK ELO1,229csdb.gg/stats

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Performance scores

Aim87
Positioning44
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLWWWWLWWLL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −2.3pp headshot accuracy · −88ms reaction

Win rate 0pp 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 -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 555ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 599ms

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 (+1.9 against its own average).

Aim8.7
Utility5.5
Positioning4.4
Opening Duels1.5
Clutch3.0

Sharp aimerStrong 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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: aim profile, positioning 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 →

Strengths & areas to improve

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 45% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim8.7
Positioning4.4
Utility5.5
Mechanics7.7
Opening Duels1.9
Win Impact8.3

Composite 6.6/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time600ms−54ms
first ⅓ avg 653ms → last ⅓ avg 600ms
Headshot accuracy21.2%+1.1%
first ⅓ avg 20.0% → last ⅓ avg 21.2%

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

0.17Best match rating · 13–7 · mirage, 11 Jul →
41%Best headshot accuracy · 13–9 · dust2, 9 May →
422msFastest reaction time · 13–10 · ancient, 18 Jan →
13–1Biggest win · nuke, 15 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
15–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 83% over 6cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%0.02
mirageA1911–858%0.01
nukeB147–750%0.01
infernoB147–750%0.01
ancientB105–550%0.00
anubisS96–367%0.02
cacheC73–443%0.01
overpassS65–183%0.02
office—10–10%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

366Matches
49%Win rate
1.13Avg K/D
80.5ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21741%1.0415.7
Mirage1747%1.4615.5
Inferno1258%1.2520.0
Nuke922%1.2516.2
Ancient825%1.1415.3
Overpass650%1.8719.5
Train650%1.1415.3
Cache250%0.8716.5

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.

21.7%Headshot accuracy
37.3%Accuracy (enemy spotted)
45.0%Spray accuracy
84.6%Counter-strafing
8.3°Preaim
595msReaction time
22.9%T opening success
45.5%CT opening success
0.60Enemies flashed / flash
5.6%Flash assists
9.35HE damage / grenade
11.47Flashes / 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

    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 22.92% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0416%7 Oct →
dust213–5-0.0218%2 Oct →
nuke13–8-0.0426%2 Oct →
anubis13–50.0117%15 Sept →
cache13–5-0.0025%2 Sept →
ancient10–130.0116%29 Aug →
inferno13–80.0221%23 Aug →
mirage16–12-0.0320%22 Aug →
mirage10–130.0240%22 Aug →
mirage6–13-0.0629%22 Aug →
dust25–130.0722%22 Aug →
dust213–2-0.0135%19 Aug →
dust216–140.0122%16 Aug →
ancient2–13-0.0218%16 Aug →
dust213–40.0433%15 Aug →
nuke13–30.0922%15 Aug →
nuke13–10.0920%15 Aug →
mirage10–13-0.0217%24 Jul →
cache6–13-0.0832%19 Jul →
inferno13–30.0629%19 Jul →
nuke2–13-0.0813%19 Jul →
ancient13–50.0226%19 Jul →
dust211–130.0716%18 Jul →
mirage10–130.0118%13 Jul →
mirage19–170.0121%11 Jul →
inferno19–170.0021%11 Jul →
mirage7–13-0.047%11 Jul →
mirage13–70.1725%11 Jul →
mirage13–5-0.0110%11 Jul →
cache13–20.0319%9 Jul →
ancient7–130.0113%9 Jul →
mirage13–10.0410%9 Jul →
nuke10–13-0.0322%9 Jul →
inferno12–120.0827%9 Jul →
anubis7–130.0418%5 Jul →
anubis5–130.0334%4 Jul →
inferno13–110.0118%4 Jul →
nuke11–130.0118%4 Jul →
inferno8–130.0221%4 Jul →
ancient10–13-0.0525%22 Jun →
cache7–130.0523%21 Jun →
mirage15–15-0.0221%20 Jun →
ancient13–110.0031%8 Jun →
inferno3–13-0.0616%1 Jun →
cache12–120.0323%17 May →
nuke13–10-0.0526%17 May →
cache13–50.0325%16 May →
mirage13–100.0221%9 May →
dust213–90.0441%9 May →
inferno4–13-0.0236%2 May →
ancient10–130.0518%2 May →
nuke16–130.0238%2 May →
cache12–120.0121%1 May →
nuke13–110.1024%27 Apr →
overpass11–130.0321%21 Apr →
inferno9–130.0117%21 Apr →
dust28–13-0.0018%21 Apr →
ancient13–40.0117%15 Apr →
dust213–6-0.0219%13 Apr →
inferno13–100.0320%12 Apr →
nuke11–13-0.0620%12 Apr →
inferno13–8-0.0112%6 Apr →
nuke15–150.0220%4 Apr →
anubis6–130.0020%22 Mar →
inferno13–110.0118%14 Mar →
mirage13–110.0219%14 Mar →
dust210–13-0.0420%7 Mar →
ancient13–110.0423%1 Mar →
anubis13–11-0.0218%1 Mar →
anubis13–20.1230%1 Mar →
mirage12–16-0.0220%22 Feb →
office8–13-0.0729%21 Feb →
dust29–130.0726%21 Feb →
dust213–11-0.0917%12 Feb →
nuke13–100.0627%9 Feb →
mirage13–40.1416%9 Feb →
overpass13–2-0.0233%8 Feb →
anubis13–110.0413%8 Feb →
mirage13–80.0329%8 Feb →
dust213–8-0.0225%6 Feb →
dust27–130.0110%6 Feb →
dust213–110.0516%6 Feb →
dust215–15-0.0122%5 Feb →
overpass13–9-0.019%4 Feb →
anubis13–6-0.0122%3 Feb →
dust25–13-0.0118%3 Feb →
inferno1–13-0.0232%3 Feb →
dust220–220.0517%2 Feb →
nuke11–13-0.0012%2 Feb →
overpass13–50.059%2 Feb →
mirage16–14-0.0121%26 Jan →
dust213–50.0625%26 Jan →
mirage3–13-0.0721%24 Jan →
overpass13–11-0.0113%24 Jan →
overpass13–50.0722%24 Jan →
anubis13–8-0.0110%22 Jan →
inferno4–13-0.0612%22 Jan →
mirage13–7-0.0222%22 Jan →
dust213–70.0727%18 Jan →
ancient13–10-0.0617%18 Jan →

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 →

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