aawess

aawess — CS2 Stats

FR76561198338200115[U:1:377934387]Steam profile ↗✓ No bans

857Tracked matches46%Win rate2020Tracked since
2,257Hours in CS
CSDB Rating4.8 DevelopingSupport
CSDB Leaderboard#19645 of 259990 tracked
FaceitLevel 10 · 2,350 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,177 +3,610 16 Nov – 12 Jun · 25 days played
20,21325,281peak 25,28116 Nov12 Jun
25,281Peak Premier in tracked matches
2,350Highest Faceit ELO seen on CSDB
37Days played since 2025-11-16

Faceit ELO

  • At peak — 2,350
  • Next: 2,500 ELO at 2,500 — 150 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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 Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate51.6%50.9%
Shot accuracy15.7%13.7%
Kill/death ratio0.941.09
Match win rate51.0%48.4%

Share this profile

CSDB.GGaawessFACEITLevel 10 · 2,350 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,350csdb.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

Aim64
Positioning39
Utility44

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateTLLLWLWLLT

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +4.4pp headshot accuracy · −32ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 31%
  • Avg reaction 662ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 27%
  • Avg reaction 645ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 661ms

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 (+1.3 against its own average).

Aim6.4
Utility4.4
Positioning3.9
Opening Duels1.8
Clutch2.2

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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. 651ms 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

Aim6.4
Positioning3.9
Utility4.4
Mechanics6.5
Opening Duels1.3
Win Impact3.8

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time647ms+2ms
first ⅓ avg 644ms → last ⅓ avg 647ms
Headshot accuracy24.4%+0.0%
first ⅓ avg 24.4% → last ⅓ avg 24.4%

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

0.08Best match rating · 13–10 · mirage, 17 May →
48%Best headshot accuracy · 6–13 · mirage, 10 May →
469msFastest reaction time · 2–13 · dust2, 10 May →
13–1Biggest win · nuke, 21 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 48% over 27ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3315–1845%-0.02
mirageB2713–1448%-0.03
infernoC187–1139%-0.02
overpassC83–538%-0.03
ancientD61–517%-0.03
nuke—42–250%-0.05
cache—32–167%-0.00
train—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,736Lifetime kills
0.94K/D
4,405Matches
51.0%Match win rate · Top 50% of Level 10 players
51.6%Headshot % · Top 50% of Level 10 players
15.7%Shot accuracy · Top 50% of Level 10 players
15,002MVPs
2,257Hours (in match)
3,891Bombs planted
1,037Bombs defused

Most-used weapons

AK-4733,476
AWP11,552
FAMAS2,675
P2502,068

Lifetime map wins

13,301dust2
10,557inferno
1,684cbble
1,514nuke
1,183train
863vertigo
110lake
96italy

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

Faceit stats

Combat

704Matches
55%Win rate
1.00Avg K/D
78.4ADR
52%Headshot %

Clutches & streaks

31%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5754%0.8613.8
Dust25357%0.9816.4
Inferno3262%0.9915.8
Ancient2952%0.8914.4
Nuke1650%0.9216.4
Overpass1436%0.9815.4
Cache1191%1.2317.4
Train520%0.7313.8

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.

24.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
31.4%Spray accuracy
79.4%Counter-strafing
9.1°Preaim
651msReaction time
28.6%T opening success
40.4%CT opening success
0.65Enemies flashed / flash
7.3%Flash assists
9.10HE damage / grenade
3.82Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8246 — below the 4 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 28.6307% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0232%4 Aug →
dust24–13-0.0229%12 Jun →
overpass9–13-0.0627%7 Jun →
dust28–13-0.0735%5 Jun →
dust213–10-0.0534%3 Jun →
dust210–13-0.0121%1 Jun →
inferno13–110.0030%31 May →
inferno4–13-0.0215%31 May →
overpass4–13-0.0827%31 May →
nuke15–15-0.0720%26 May →
dust211–130.0027%26 May →
mirage8–13-0.0712%24 May →
dust216–14-0.0624%23 May →
mirage13–100.0530%22 May →
dust26–130.0020%22 May →
mirage13–60.0323%22 May →
dust214–16-0.0318%21 May →
nuke13–1-0.0130%21 May →
mirage6–13-0.0414%21 May →
dust27–130.0029%20 May →
inferno11–130.0025%20 May →
dust219–17-0.0433%20 May →
dust210–13-0.0220%19 May →
mirage13–100.0817%17 May →
mirage13–70.0014%17 May →
inferno10–13-0.0425%17 May →
inferno13–10-0.0834%17 May →
dust213–11-0.0121%17 May →
ancient13–9-0.0224%17 May →
inferno13–10-0.0027%17 May →
mirage9–13-0.0121%16 May →
inferno9–130.0127%16 May →
inferno13–100.0122%16 May →
mirage13–8-0.0418%16 May →
dust213–6-0.0411%16 May →
dust213–110.0422%15 May →
inferno14–16-0.0031%14 May →
ancient7–130.0040%14 May →
overpass13–70.0429%14 May →
inferno6–13-0.0414%13 May →
cache11–13-0.0818%12 May →
cache13–70.0218%12 May →
inferno13–9-0.0036%11 May →
mirage6–13-0.0815%11 May →
inferno8–13-0.0822%10 May →
dust22–13-0.0422%10 May →
mirage13–8-0.0324%10 May →
mirage6–13-0.0948%10 May →
dust210–130.0122%9 May →
inferno11–13-0.0018%9 May →
overpass13–10-0.0242%8 May →
dust211–13-0.0126%8 May →
dust24–13-0.0521%8 May →
nuke13–9-0.0720%8 May →
cache13–80.0615%8 May →
inferno9–13-0.0015%5 May →
nuke4–13-0.0616%5 May →
overpass9–13-0.0334%5 May →
dust213–100.0037%5 May →
dust213–9-0.0021%4 May →
dust213–90.0318%4 May →
dust213–8-0.0418%4 May →
mirage9–13-0.0414%4 May →
dust213–7-0.0027%4 May →
overpass13–110.0039%4 May →
dust211–13-0.0213%4 May →
ancient1–13-0.0812%4 May →
mirage8–13-0.0518%3 May →
dust213–7-0.0437%3 May →
ancient7–13-0.0228%2 May →
dust27–13-0.0637%2 May →
mirage10–13-0.0426%2 May →
overpass7–13-0.0718%2 May →
dust213–6-0.0516%2 May →
inferno10–130.0327%2 May →
mirage15–15-0.0522%2 May →
ancient10–13-0.0125%1 May →
mirage13–60.0331%1 May →
mirage3–13-0.0717%30 Apr →
mirage0–13-0.0614%30 Apr →
dust213–100.0724%30 Apr →
mirage11–13-0.0619%30 Apr →
mirage8–13-0.0522%28 Apr →
mirage13–3-0.0124%28 Apr →
mirage13–5-0.0238%28 Apr →
dust211–13-0.0629%27 Apr →
mirage13–7-0.0420%27 Apr →
ancient6–13-0.0229%27 Apr →
overpass7–13-0.0215%27 Apr →
dust213–4-0.0029%26 Apr →
mirage13–6-0.0015%26 Apr →
dust25–13-0.0524%25 Apr →
inferno13–20.0129%25 Apr →
inferno13–4-0.0123%25 Apr →
mirage13–20.0430%25 Apr →
mirage14–160.0129%18 Nov →
inferno7–13-0.0625%17 Nov →
mirage13–9-0.0633%16 Nov →
dust24–13-0.0916%16 Nov →
train4–13-0.0618%16 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 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.