Drekeroni

Drekeroni — CS2 Stats

US76561198131135461[U:1:170869733]Steam profile ↗✓ No bans

1,972Tracked matches57%Win rate2020Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating8,476Light Blue band · top ~62.2% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 49 days played since 31 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,476 +2,091 2 Jun19 Sept · 33 days played
4,5028,476peak 8,4762 Jun19 Sept
Faceit ELO: 619 +0 31 Aug3 Sept · 2 observations
619619peak 61931 Aug3 Sept
8,476Peak Premier in tracked matches
619Highest Faceit ELO seen on CSDB
49Days played since 2026-05-31

Faceit ELO

  • At peak — 619
  • Next: Level 3 at 751 132 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-31

Premier CS Rating

  • At peak — 8,476
  • +1,942 over 30 days · improving
  • +1,650 over 90 days
  • Next: Blue band at 10,000 1,524 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDrekeroniPREMIER8,476 · Light Blue bandPEAK ELO619csdb.gg/stats

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Performance scores

Aim52
Positioning50
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateWLLLWWWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.0pp headshot accuracy · −107ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 617ms

Last 20

  • 992 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 671ms

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 PlayerPositioning stands above the rest of this profile (+2.7 against its own average).

Aim5.2
Utility1.1
Positioning5.0
Opening Duels1.9
Clutch1.4

Limited utility dependence

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

s1mple

Plays most like s1mple 80% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 658ms 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

Aim5.2
Positioning5.0
Utility1.1
Mechanics5.9
Opening Duels1.4
Win Impact7.4

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time657ms−82ms
first ⅓ avg 739ms → last ⅓ avg 657ms
Headshot accuracy15.3%−2.1%
first ⅓ avg 17.4% → last ⅓ avg 15.3%

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

0.16Best match rating · 13–7 · cache, 1 Aug
33%Best headshot accuracy · 10–13 · dust2, 2 Jul
453msFastest reaction time · 7–13 · ancient, 20 Aug
13–2Biggest win · mirage, 15 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
610In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 56% over 39ancientWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A39221756%-0.03
ancientD1421214%-0.01
cacheC125742%-0.01
anubisA116555%-0.00
mirageB115645%-0.01
nukeC73443%-0.03
inferno32167%-0.04
office220100%0.01
vertigo1010%-0.08

Across the last 100 tracked matches.

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

Faceit stats

Combat

367Matches
47%Win rate
0.72Avg K/D
63.2ADR
47%Headshot %

Clutches & streaks

27%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust29755%0.8312.6
Ancient5947%0.7711.5
Anubis4441%0.7311.9
Mirage3749%0.6811.8
Vertigo1937%0.7511.9
Inferno944%0.7513.0
Nuke757%0.7511.9
Train650%0.9616.0

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.

15.2%Headshot accuracy
36.1%Accuracy (enemy spotted)
42.2%Spray accuracy
76.4%Counter-strafing
13.1°Preaim
658msReaction time
30.2%T opening success
40.7%CT opening success
0.24Enemies flashed / flash
3.9%Flash assists
5.43HE damage / grenade
1.29Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1474° — above the 12° mark we flag

    Aim Training
  2. 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 0.2395 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–80.0315%19 Sept
dust29–13-0.0713%18 Sept
anubis10–130.0111%17 Sept
nuke6–13-0.0520%17 Sept
nuke13–30.0010%16 Sept
dust213–4-0.049%16 Sept
mirage13–110.0217%16 Sept
ancient7–13-0.023%11 Sept
mirage13–10-0.0424%7 Sept
anubis10–13-0.0219%7 Sept
mirage15–15-0.0310%5 Sept
mirage9–130.0725%5 Sept
office13–11-0.016%1 Sept
nuke11–13-0.0415%31 Aug
cache12–120.0211%30 Aug
cache13–50.0213%29 Aug
inferno16–12-0.0410%28 Aug
dust213–10-0.0113%26 Aug
cache4–13-0.0617%24 Aug
cache8–130.0120%24 Aug
ancient10–130.0216%24 Aug
anubis13–90.0624%23 Aug
dust213–11-0.0422%23 Aug
dust213–5-0.0714%23 Aug
dust213–4-0.0721%23 Aug
ancient7–130.0410%20 Aug
dust213–70.0125%20 Aug
dust213–7-0.0513%18 Aug
ancient13–60.0316%18 Aug
dust27–13-0.0316%18 Aug
nuke12–160.0315%18 Aug
dust213–90.0312%15 Aug
anubis14–16-0.0321%15 Aug
mirage13–20.0722%15 Aug
dust25–13-0.0825%14 Aug
nuke13–6-0.0014%14 Aug
dust211–13-0.0622%11 Aug
dust29–13-0.0813%10 Aug
cache10–13-0.0821%10 Aug
ancient15–15-0.0111%10 Aug
dust213–100.0123%7 Aug
nuke13–9-0.088%7 Aug
anubis9–13-0.058%7 Aug
mirage3–13-0.0711%6 Aug
cache13–9-0.0121%6 Aug
anubis7–130.0223%5 Aug
mirage16–14-0.0121%4 Aug
dust211–13-0.0619%3 Aug
dust213–11-0.0615%3 Aug
dust213–8-0.0817%3 Aug
mirage4–13-0.027%2 Aug
ancient9–13-0.019%1 Aug
cache7–13-0.077%1 Aug
dust216–120.0521%1 Aug
cache13–70.1619%1 Aug
cache11–13-0.0018%31 Jul
anubis13–5-0.0110%30 Jul
ancient8–13-0.0821%30 Jul
dust26–13-0.0322%28 Jul
mirage5–13-0.0616%28 Jul
dust215–150.0113%27 Jul
ancient16–120.0514%27 Jul
dust215–15-0.0616%27 Jul
cache13–7-0.057%27 Jul
anubis13–20.0018%27 Jul
dust214–160.0610%24 Jul
dust27–13-0.0310%21 Jul
cache11–13-0.047%21 Jul
ancient11–13-0.0811%21 Jul
dust25–13-0.0013%20 Jul
mirage13–6-0.0025%20 Jul
dust213–7-0.0318%20 Jul
dust210–13-0.0321%20 Jul
inferno13–11-0.0516%20 Jul
ancient9–13-0.0318%13 Jul
dust213–60.0817%13 Jul
anubis13–40.0217%13 Jul
anubis13–70.0214%13 Jul
mirage5–13-0.0313%12 Jul
inferno3–13-0.0317%12 Jul
ancient11–130.0220%11 Jul
dust29–13-0.0712%11 Jul
ancient13–16-0.0415%2 Jul
dust210–13-0.0833%2 Jul
anubis13–7-0.0614%2 Jul
dust213–70.039%24 Jun
dust213–10-0.048%23 Jun
office13–40.0313%17 Jun
dust213–8-0.0417%17 Jun
dust25–13-0.0633%12 Jun
nuke4–13-0.0926%10 Jun
dust216–130.0128%10 Jun
dust213–8-0.0215%9 Jun
ancient14–16-0.0325%4 Jun
dust213–90.0118%4 Jun
ancient6–13-0.034%3 Jun
dust213–7-0.0228%3 Jun
vertigo8–13-0.0817%3 Jun
dust210–13-0.0219%2 Jun
dust213–5-0.0113%31 May

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 →