ωετıgo

ωετıgo — CS2 Stats

NF76561199580539302[U:1:1620273574]Steam profile ↗✓ No bans

632Tracked matches30%Win rate2024Tracked since
1,667Hours in CS61Hrs last 2 wks
CSDB Rating3.0 LearningSupport
FaceitLevel 2 · 836 ELOTop 97.9% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+301Faceit ELO · 535 → 836

Rating over time

Premier CS Rating: 1,250 -280 18 Jan – 23 May · 26 days played
1,2503,997peak 3,99718 Jan23 May
3,997Peak Premier in tracked matches
836Highest Faceit ELO seen on CSDB
68Days played since 2026-01-11

Faceit ELO

  • At peak — 836
  • Next: Level 4 at 901 — 65 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-14
  • Level 2 first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate39.5%41.3%41.8%2.3% short
Shot accuracy0.0%12.7%12.2%12.2% short
Kill/death ratio0.770.950.980.20 short
Match win rate42.6%42.6%43.3%meets

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGωετıgoFACEITLevel 2 · 836 ELOSTANDINGTop 97.9% of rankedPEAK ELO836csdb.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

Aim32
Positioning42
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateLWLWWLLLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +4.9pp headshot accuracy · +11ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 634ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 659ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 653ms

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 (+1.4 against its own average).

Aim3.2
Utility4.6
Positioning4.2
Opening Duels1.3
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

Twistzz

Plays most like Twistzz 68% 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

Reaction time. 712ms 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

Aim3.2
Positioning4.2
Utility4.6
Mechanics4.7
Opening Duels1.5
Win Impact0.0

Composite 3.0/10 (Learning), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time669ms−127ms
first ⅓ avg 796ms → last ⅓ avg 669ms
Headshot accuracy18.2%+3.6%
first ⅓ avg 14.6% → last ⅓ avg 18.2%

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

0.16Best match rating · 9–3 · vertigo, 14 Oct →
36%Best headshot accuracy · 9–5 · nuke, 20 Mar →
469msFastest reaction time · 8–8 · vertigo, 25 Jul →
13–1Biggest win · inferno, 6 Apr →

Across the last 100 tracked matches.

Highlights

3Longest win streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 27% over 26
MapGradePlayedRecordWin rateAvg rating
dust2D267–1927%-0.01
infernoD247–1729%-0.02
mirageB168–850%-0.01
nukeC146–843%0.01
anubisS96–367%-0.03
vertigoS54–180%0.09
ancient—41–325%-0.04
cache—11–0100%0.06
overpass—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,817Lifetime kills
0.77K/D
1,642Matches
42.6%Match win rate · Top 50% of Level 2 players
39.5%Headshot %
0.0%Shot accuracy
3,269MVPs
605Hours (in match)
758Bombs planted
343Bombs defused

Most-used weapons

Lifetime map wins

4,900dust2
1,742inferno
938nuke
277vertigo
29train

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

673Matches
47%Win rate
0.90Avg K/D
77.2ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust219445%0.9113.9
Mirage18249%0.9014.5
Anubis8450%0.8613.3
Inferno6746%0.8613.9
Ancient6343%0.9415.7
Nuke4556%0.9313.6
Cache2536%0.8112.8
Vertigo743%1.0315.6

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.

16.1%Headshot accuracy
31.4%Accuracy (enemy spotted)
29.8%Spray accuracy
71.3%Counter-strafing
11.7°Preaim
712msReaction time
32.3%T opening success
39.4%CT opening success
0.57Enemies flashed / flash
3.6%Flash assists
11.32HE damage / grenade
6.09Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.6672ms — above the 700ms mark we flag

    Aim Training →
  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 32.2541% — 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 26 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
inferno3–9-0.0925%8 Nov →
inferno9–70.0021%8 Nov →
dust23–13-0.0825%7 Nov →
vertigo13–100.0413%27 Oct →
nuke13–5-0.0232%23 Oct →
dust26–13-0.0216%19 Oct →
dust21–50.1120%16 Oct →
inferno5–9-0.037%14 Oct →
vertigo9–30.1614%14 Oct →
dust213–50.0020%14 Oct →
cache13–90.0612%14 Oct →
nuke13–160.039%14 Oct →
dust26–13-0.0016%14 Sept →
inferno14–16-0.0623%24 Aug →
inferno5–13-0.0615%21 Aug →
mirage11–130.0213%14 Aug →
mirage11–13-0.0612%13 Aug →
inferno9–13-0.0211%3 Aug →
vertigo9–70.0910%2 Aug →
inferno2–9-0.0924%30 Jul →
mirage13–90.0821%28 Jul →
inferno6–9-0.0115%28 Jul →
inferno9–60.0523%27 Jul →
inferno5–90.0818%26 Jul →
inferno2–9-0.0929%25 Jul →
inferno5–9-0.0615%25 Jul →
inferno4–9-0.0916%25 Jul →
vertigo8–80.1112%25 Jul →
inferno8–80.0235%24 Jul →
vertigo9–50.0514%12 Jul →
nuke5–90.0335%12 Jul →
nuke3–9-0.0818%26 Jun →
inferno9–5-0.0112%26 Jun →
inferno9–30.1522%26 Jun →
anubis13–11-0.038%31 May →
nuke1–9-0.187%29 May →
inferno10–13-0.026%27 May →
anubis7–13-0.039%27 May →
mirage11–13-0.0629%23 May →
nuke6–90.1515%18 May →
dust28–13-0.0319%17 May →
inferno12–16-0.0312%17 May →
mirage10–13-0.0621%15 May →
nuke9–30.1220%14 May →
ancient20–22-0.0621%10 May →
anubis13–8-0.0912%3 May →
mirage7–130.0319%2 May →
dust27–13-0.0223%6 Apr →
inferno13–10.0112%6 Apr →
dust24–13-0.0413%6 Apr →
overpass9–13-0.059%2 Apr →
dust213–11-0.0615%21 Mar →
nuke9–5-0.0536%20 Mar →
anubis13–60.0423%19 Mar →
dust212–16-0.0510%19 Mar →
nuke10–13-0.066%18 Mar →
mirage13–11-0.0111%17 Mar →
anubis14–16-0.0312%15 Mar →
dust25–130.0124%5 Mar →
nuke13–40.0522%4 Mar →
nuke5–13-0.010%3 Mar →
inferno13–11-0.0519%27 Feb →
mirage13–90.0320%26 Feb →
dust213–7-0.039%26 Feb →
nuke7–13-0.0412%26 Feb →
anubis13–10-0.0520%25 Feb →
anubis13–10-0.0711%24 Feb →
ancient16–13-0.078%24 Feb →
dust28–130.0432%22 Feb →
dust213–11-0.0712%11 Feb →
dust28–13-0.0025%11 Feb →
mirage13–11-0.0115%9 Feb →
inferno9–130.0212%9 Feb →
dust213–30.0124%9 Feb →
dust28–13-0.0619%7 Feb →
mirage13–40.058%5 Feb →
mirage13–100.0114%5 Feb →
nuke13–70.1112%4 Feb →
inferno3–13-0.018%4 Feb →
ancient11–13-0.068%2 Feb →
dust215–150.0522%1 Feb →
inferno13–100.0010%1 Feb →
mirage13–11-0.0311%29 Jan →
dust27–130.0120%29 Jan →
anubis3–13-0.064%28 Jan →
dust216–120.0318%28 Jan →
mirage6–13-0.039%27 Jan →
mirage12–12-0.0118%26 Jan →
dust211–130.0215%25 Jan →
anubis13–110.0511%25 Jan →
mirage13–9-0.046%25 Jan →
dust25–13-0.0313%24 Jan →
mirage3–13-0.0621%21 Jan →
dust28–13-0.0521%21 Jan →
ancient7–130.009%18 Jan →
nuke13–50.0118%18 Jan →
dust25–13-0.0919%15 Jan →
dust213–100.0415%14 Jan →
dust25–130.0318%12 Jan →
inferno4–13-0.0212%11 Jan →

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.