weenor

weenor — CS2 Stats

76561198124402349[U:1:164136621]Steam profile ↗

2,021Tracked matches53%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
CSDB Leaderboard#16482 of 19072 tracked
FaceitLevel 9 · 2,524 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

2,524Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 2,524
  • Next: 3,000 ELO at 3,000 476 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGweenorFACEITLevel 9 · 2,524 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,524csdb.gg/stats

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Performance scores

Aim85
Positioning43
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY46486Last 10046%Win rateWLLWLWWWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.5
Aggression4.6
Utility4.2
Positioning4.3
Opening Duels1.1
Clutch3.8

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 42 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.

Reaction time. 551ms 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

Aim8.5
Positioning4.3
Utility4.2
Mechanics7.4
Opening Duels1.2
Win Impact6.1

Composite 6.0/10 (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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time573ms−37ms
first ⅓ avg 610ms → last ⅓ avg 573ms
Headshot accuracy22.5%−0.3%
first ⅓ avg 22.8% → last ⅓ avg 22.5%

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.

Highlights

0.14Best rating — dust2 5–3
132Biggest win — cache
5Longest win streak
129In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB28131546%-0.01
nukeA159660%-0.02
ancientB147750%0.03
dust2B137654%0.01
infernoD123925%-0.04
cacheA74357%-0.01
anubisD62433%0.02
vertigo31233%0.04
train1010%-0.12
office1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

674Matches
55%Win rate
1.16Avg K/D
79.1ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10752%1.0615.9
Anubis8061%1.1817.7
Nuke7752%1.0115.9
Ancient6656%1.2417.4
Inferno6053%1.0615.4
Dust23050%1.1114.9
Overpass1867%1.0714.2
Vertigo1136%1.1918.6

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.

22.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
40.4%Spray accuracy
83.1%Counter-strafing
9.0°Preaim
551msReaction time
29.0%T opening success
39.7%CT opening success
0.46Enemies flashed / flash
2.8%Flash assists
9.36HE damage / grenade
8.20Flashes / 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 0.4613 — 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 28.9927% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0628%28 Aug
train2–13-0.1238%27 Aug
mirage11–13-0.0516%27 Aug
dust213–11-0.0120%27 Aug
inferno9–13-0.0617%25 Aug
nuke13–110.0627%24 Aug
nuke13–11-0.0623%21 Aug
ancient16–130.0216%20 Aug
ancient6–13-0.0224%20 Aug
mirage11–13-0.0422%19 Aug
anubis13–90.1017%19 Aug
nuke13–160.0126%19 Aug
ancient13–70.0622%19 Aug
mirage9–130.0526%19 Aug
ancient13–60.1323%18 Aug
inferno4–9-0.2027%11 Aug
mirage6–3-0.1538%11 Aug
mirage13–7-0.0314%11 Aug
cache13–20.0024%10 Aug
inferno13–80.0128%10 Aug
ancient11–130.0622%7 Aug
mirage16–19-0.0715%7 Aug
inferno7–13-0.0124%5 Aug
cache13–2-0.0126%5 Aug
mirage13–70.0725%5 Aug
dust213–110.0127%5 Aug
ancient11–130.0216%5 Aug
cache5–13-0.0820%31 Jul
nuke13–10-0.0624%23 Jul
dust23–13-0.0815%23 Jul
mirage1–10.000%23 Jul
nuke3–13-0.0333%23 Jul
mirage13–16-0.0419%23 Jul
anubis6–13-0.1018%23 Jul
mirage13–3-0.0318%23 Jul
inferno0–2-0.030%23 Jul
dust215–150.0126%22 Jul
mirage13–50.0320%22 Jul
cache16–14-0.0719%22 Jul
mirage13–40.0822%22 Jul
nuke13–100.0017%17 Jul
mirage13–8-0.027%16 Jul
ancient15–19-0.0220%15 Jul
nuke13–80.0032%1 Jul
mirage13–110.0411%1 Jul
vertigo8–130.0838%30 Jun
inferno13–10-0.0534%30 Jun
mirage7–13-0.0412%27 Jun
nuke13–11-0.0514%6 May
nuke8–13-0.0516%30 Apr
cache10–130.0718%29 Apr
cache13–20.0622%29 Apr
cache6–13-0.0430%28 Apr
nuke13–9-0.0130%28 Apr
mirage13–110.0015%17 Apr
mirage10–13-0.0916%30 Mar
vertigo13–50.0217%30 Mar
dust213–30.0523%30 Mar
mirage15–15-0.0421%27 Mar
ancient13–7-0.0013%27 Mar
anubis6–130.0818%25 Mar
mirage13–90.0422%12 Mar
nuke2–13-0.0817%12 Mar
vertigo6–130.0125%12 Mar
dust29–13-0.0315%12 Mar
ancient4–13-0.0230%9 Mar
inferno2–13-0.0423%9 Mar
office2–130.0229%9 Mar
dust25–30.1433%9 Mar
dust29–130.0420%23 Feb
anubis11–130.0026%23 Feb
inferno6–13-0.1212%22 Feb
mirage14–16-0.0714%22 Feb
inferno9–13-0.0427%11 Feb
mirage6–13-0.0819%11 Feb
anubis8–130.0322%7 Feb
inferno10–130.0326%7 Feb
mirage15–150.0123%7 Feb
nuke13–110.0139%4 Feb
mirage13–90.0314%4 Feb
dust213–10-0.0315%31 Jan
inferno12–12-0.0429%29 Jan
dust28–130.0341%29 Jan
mirage13–90.0513%29 Jan
ancient2–8-0.025%29 Jan
mirage13–110.0824%28 Jan
nuke7–13-0.0114%28 Jan
nuke14–16-0.0321%28 Jan
mirage13–16-0.0417%26 Jan
ancient16–130.0428%26 Jan
ancient13–70.0225%26 Jan
anubis13–80.0113%26 Jan
dust213–80.0514%26 Jan
inferno13–30.0829%26 Jan
mirage5–13-0.0232%25 Jan
nuke13–7-0.0411%25 Jan
ancient13–110.0416%25 Jan
dust21–13-0.0664%25 Jan
mirage12–12-0.0521%24 Jan
ancient12–120.0618%24 Jan

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →