»✪exte✪

»✪exte✪ — CS2 Stats

76561197973688861[U:1:13423133]Steam profile ↗✓ No bans

2,253Tracked matches52%Win rate2020Tracked since
CSDB Rating5.0 DevelopingAll-Rounder
Premier CS Rating3,769Grey band · top ~84% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (2 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: 3,769 -187 3 Sept – 5 Nov · 19 days played
2,1854,117peak 4,1173 Sept5 Nov
4,140Peak Premier in tracked matches
33Days played since 2026-09-03

Premier CS Rating

  • 348 below peak (4,117)
  • +230 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,231 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG»✪exte✪FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER3,769 · Grey bandcsdb.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

Aim52
Positioning51
Utility49

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateLLLLWLWWLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +3.1pp headshot accuracy · +33ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 697ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 711ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 695ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility4.9
Positioning5.1
Opening Duels4.6
Clutch4.4

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

device

Plays most like device 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 700ms 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
Positioning5.1
Utility4.9
Mechanics7.6
Opening Duels5.7
Win Impact5.6

Composite 5.0/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time696ms−66ms
first ⅓ avg 762ms → last ⅓ avg 696ms
Headshot accuracy12.0%−1.3%
first ⅓ avg 13.3% → last ⅓ avg 12.0%

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

0.10Best match rating · 13–4 · inferno, 10 Oct →
26%Best headshot accuracy · 7–13 · inferno, 24 Sept →
492msFastest reaction time · 9–1 · anubis, 9 Oct →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
8–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 62% over 13anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.01
ancientC145–936%-0.01
cacheB137–654%-0.02
nukeA138–562%-0.01
anubisD124–833%-0.02
dust2B105–550%-0.02
mirageB84–450%-0.02
vertigo—41–325%-0.02
train—21–150%-0.01
overpass—20–20%-0.06
office—11–0100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

382Matches
43%Win rate
0.93Avg K/D
68.0ADR
30%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3554%0.9614.6
Inferno3549%0.8913.5
Anubis2635%0.8312.7
Nuke2348%1.0814.8
Mirage2241%1.0013.9
Dust22035%0.8814.9
Overpass933%0.7510.4
Vertigo667%0.6410.0

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.

12.3%Headshot accuracy
39.8%Accuracy (enemy spotted)
40.0%Spray accuracy
84.1%Counter-strafing
14.0°Preaim
700msReaction time
54.2%T opening success
51.4%CT opening success
0.65Enemies flashed / flash
4.1%Flash assists
9.58HE damage / grenade
2.90Flashes / 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 14.0484° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.3293% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 2.9043 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–16-0.0215%5 Nov →
anubis10–130.0114%5 Nov →
dust26–13-0.0613%5 Nov →
anubis8–13-0.1214%5 Nov →
inferno13–90.0110%4 Nov →
anubis8–13-0.0119%3 Nov →
cache13–11-0.0213%2 Nov →
ancient16–14-0.0313%2 Nov →
inferno9–13-0.0318%2 Nov →
vertigo5–13-0.049%1 Nov →
ancient13–80.016%1 Nov →
cache4–13-0.1113%1 Nov →
anubis13–9-0.017%1 Nov →
train9–13-0.064%1 Nov →
inferno13–6-0.037%31 Oct →
ancient15–19-0.0816%31 Oct →
inferno2–13-0.0112%31 Oct →
nuke13–8-0.0213%30 Oct →
mirage10–5-0.0614%30 Oct →
inferno13–110.0114%30 Oct →
dust28–13-0.0417%29 Oct →
cache13–90.0313%29 Oct →
ancient13–8-0.0221%27 Oct →
inferno13–70.024%27 Oct →
nuke11–13-0.028%26 Oct →
mirage13–9-0.0117%24 Oct →
inferno13–80.0514%24 Oct →
mirage3–13-0.099%23 Oct →
ancient15–15-0.0114%23 Oct →
cache13–100.024%23 Oct →
inferno7–130.0017%23 Oct →
inferno10–13-0.038%18 Oct →
ancient13–90.067%18 Oct →
dust210–13-0.046%18 Oct →
anubis13–100.0020%18 Oct →
vertigo13–70.029%18 Oct →
overpass12–12-0.0122%18 Oct →
train13–40.0416%18 Oct →
mirage13–9-0.0416%17 Oct →
dust213–8-0.009%17 Oct →
nuke13–10-0.0513%17 Oct →
anubis1–13-0.117%17 Oct →
cache13–5-0.056%17 Oct →
ancient7–13-0.016%17 Oct →
inferno8–13-0.0313%17 Oct →
anubis1–13-0.0217%15 Oct →
inferno8–13-0.0214%15 Oct →
inferno13–40.0125%13 Oct →
anubis3–10-0.058%13 Oct →
nuke13–100.0013%12 Oct →
anubis10–13-0.046%12 Oct →
nuke13–50.0710%11 Oct →
inferno13–60.057%11 Oct →
inferno13–40.105%10 Oct →
anubis11–130.0513%10 Oct →
mirage3–130.0315%10 Oct →
ancient7–13-0.0314%10 Oct →
nuke13–60.026%10 Oct →
vertigo12–12-0.0122%9 Oct →
cache13–10-0.0020%9 Oct →
office13–11-0.039%9 Oct →
inferno10–130.0018%9 Oct →
anubis9–10.038%9 Oct →
dust29–13-0.0111%9 Oct →
nuke13–60.0218%9 Oct →
cache3–130.0018%9 Oct →
dust213–10.0013%9 Oct →
cache13–11-0.0416%8 Oct →
vertigo9–13-0.058%8 Oct →
nuke6–13-0.026%8 Oct →
nuke15–150.038%6 Oct →
mirage13–16-0.0511%6 Oct →
cache13–11-0.0114%2 Oct →
inferno12–160.0312%26 Sept →
inferno7–13-0.0626%24 Sept →
cache10–13-0.037%23 Sept →
dust213–110.0220%23 Sept →
dust213–50.0219%23 Sept →
nuke13–11-0.0014%22 Sept →
ancient13–60.0317%22 Sept →
inferno13–90.0315%22 Sept →
nuke8–13-0.0510%21 Sept →
cache12–160.0115%21 Sept →
mirage13–100.0522%21 Sept →
ancient8–130.008%21 Sept →
inferno13–70.0612%21 Sept →
dust20–13-0.0524%20 Sept →
nuke9–13-0.0614%18 Sept →
dust213–9-0.0118%18 Sept →
inferno13–20.0616%18 Sept →
inferno13–40.0116%18 Sept →
ancient11–13-0.086%6 Sept →
ancient8–130.0911%6 Sept →
ancient8–130.0213%6 Sept →
ancient8–13-0.0414%5 Sept →
overpass10–13-0.116%5 Sept →
cache12–12-0.058%5 Sept →
mirage5–130.0215%3 Sept →
anubis13–9-0.0110%3 Sept →
nuke13–7-0.019%3 Sept →

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 →

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