Ede

Ede — CS2 Stats

FI76561198103002818[U:1:142737090]Steam profile ↗✓ No bans

1,487Tracked matches48%Win rate2023Tracked since
3,461Hours in CS17Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating10,102Blue band · top ~54.4% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+212Premier CS Rating · 9,890 → 10,102

Rating over time

Premier CS Rating: 10,102 +5,622 1 Sept – 4 Nov · 28 days played
4,48010,102peak 10,1021 Sept4 Nov
10,673Peak Premier in tracked matches
26Days played since 2026-09-01

Premier CS Rating

  • At peak — 10,102
  • +2,524 over 30 days · improving
  • Next: Purple band at 15,000 — 4,898 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-09

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate29.5%42.0%44.4%14.9% short
Shot accuracy7.9%9.6%11.9%4.0% short
Kill/death ratio0.890.981.030.14 short
Match win rate43.0%43.8%45.2%2.2% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEdePREMIER10,102 · Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning53
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWWLWLWTWWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −2.0pp headshot accuracy · −18ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 577ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 592ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 601ms

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 Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim4.3
Utility5.0
Positioning5.3
Opening Duels2.1
Clutch2.6

Strong CT-side opener

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 71% 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. 598ms 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

Aim4.3
Positioning5.3
Utility5.0
Mechanics4.6
Opening Duels3.3
Win Impact4.4

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time598ms+26ms
first ⅓ avg 572ms → last ⅓ avg 598ms
Headshot accuracy11.7%+1.4%
first ⅓ avg 10.4% → last ⅓ avg 11.7%

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

0.13Best match rating · 13–8 · nuke, 1 Nov →
27%Best headshot accuracy · 13–3 · nuke, 13 Oct →
469msFastest reaction time · 13–6 · anubis, 18 Oct →
13–3Biggest win · anubis, 18 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
13–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 68% over 19mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C259–1636%-0.01
anubisS1913–668%-0.02
nukeB199–1047%0.01
infernoB126–650%-0.01
cacheA106–460%-0.00
ancientC83–538%-0.02
mirageD72–529%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,380Lifetime kills
0.89K/D
4,347Matches
43.0%Match win rate
29.5%Headshot %
7.9%Shot accuracy
9,132MVPs
1,775Hours (in match)
2,990Bombs planted
939Bombs defused

Most-used weapons

AK-4719,968
AWP9,869
FAMAS2,174
P2501,700
P901,266

Lifetime map wins

9,055dust2
6,181nuke
5,440inferno
1,035train
732vertigo
414cbble
347office
171dust

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

Faceit stats

Combat

211Matches
49%Win rate
0.93Avg K/D
78.2ADR
31%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke4865%1.0514.3
Mirage3842%0.8614.4
Anubis3647%1.0114.6
Dust23345%0.9714.2
Inferno2759%1.0415.7
Ancient714%0.5910.4
Train617%0.7916.5
Cache333%0.729.0

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.

12.0%Headshot accuracy
30.0%Accuracy (enemy spotted)
33.3%Spray accuracy
70.5%Counter-strafing
9.8°Preaim
598msReaction time
36.0%T opening success
50.5%CT opening success
0.62Enemies flashed / flash
3.2%Flash assists
7.13HE damage / grenade
5.75Flashes / 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 Crosshair

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

    Headshot accuracy 12.0027% — below the 15% 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 35.9907% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–70.027%4 Nov →
anubis13–10-0.0316%4 Nov →
ancient11–13-0.049%3 Nov →
ancient16–140.0713%2 Nov →
anubis7–13-0.0519%2 Nov →
dust213–100.0211%2 Nov →
cache15–15-0.0010%1 Nov →
nuke13–80.139%1 Nov →
inferno13–11-0.0412%1 Nov →
dust211–130.0711%1 Nov →
ancient6–13-0.0316%1 Nov →
dust213–8-0.0512%31 Oct →
dust213–10-0.0118%31 Oct →
nuke13–60.0014%31 Oct →
cache13–4-0.053%30 Oct →
nuke6–13-0.0619%22 Oct →
dust211–13-0.0315%22 Oct →
cache4–130.0219%21 Oct →
mirage1–13-0.078%21 Oct →
dust25–130.0013%20 Oct →
dust210–13-0.0611%20 Oct →
dust213–70.0016%20 Oct →
dust27–13-0.0613%19 Oct →
dust213–16-0.0211%19 Oct →
anubis13–11-0.018%19 Oct →
mirage10–13-0.0514%18 Oct →
mirage9–130.0210%18 Oct →
anubis13–60.057%18 Oct →
anubis13–3-0.037%18 Oct →
mirage10–130.018%18 Oct →
anubis14–16-0.0712%17 Oct →
cache13–7-0.008%17 Oct →
anubis13–10-0.047%17 Oct →
nuke13–8-0.024%17 Oct →
dust213–60.003%17 Oct →
anubis13–110.0013%17 Oct →
mirage9–13-0.0111%16 Oct →
ancient4–130.016%16 Oct →
dust213–80.0420%16 Oct →
inferno13–70.0118%16 Oct →
nuke4–13-0.039%16 Oct →
inferno12–16-0.068%15 Oct →
mirage13–60.0520%15 Oct →
ancient10–13-0.069%15 Oct →
cache9–13-0.0611%15 Oct →
nuke9–13-0.0213%15 Oct →
dust25–13-0.057%15 Oct →
inferno10–13-0.0312%14 Oct →
dust213–16-0.058%14 Oct →
nuke13–6-0.016%14 Oct →
anubis4–13-0.057%14 Oct →
cache13–50.0515%14 Oct →
dust214–160.0010%14 Oct →
anubis13–70.0113%14 Oct →
anubis13–110.0412%14 Oct →
nuke16–140.0416%13 Oct →
nuke13–30.0327%13 Oct →
ancient13–100.0315%13 Oct →
ancient13–5-0.024%13 Oct →
dust213–7-0.0520%12 Oct →
inferno13–90.0412%12 Oct →
dust216–140.0517%12 Oct →
nuke3–13-0.059%12 Oct →
inferno13–60.0718%12 Oct →
nuke3–130.0310%12 Oct →
nuke13–110.0016%12 Oct →
inferno13–30.0115%11 Oct →
anubis13–10-0.029%11 Oct →
nuke13–16-0.0211%11 Oct →
inferno11–130.0010%11 Oct →
cache15–15-0.0111%10 Oct →
nuke11–130.0512%10 Oct →
dust28–13-0.0221%10 Oct →
nuke13–40.067%10 Oct →
inferno9–13-0.058%10 Oct →
anubis13–9-0.078%10 Oct →
inferno6–13-0.0410%9 Oct →
dust27–13-0.048%9 Oct →
inferno11–130.0213%9 Oct →
anubis16–140.006%9 Oct →
dust213–110.076%9 Oct →
cache13–11-0.0311%8 Oct →
anubis8–13-0.0522%7 Oct →
inferno13–11-0.075%6 Oct →
dust211–13-0.0514%6 Oct →
anubis13–7-0.008%6 Oct →
dust23–13-0.0511%5 Oct →
mirage16–14-0.0318%5 Oct →
cache13–100.0413%5 Oct →
dust27–13-0.0211%5 Oct →
anubis13–8-0.038%5 Oct →
dust26–13-0.0210%5 Oct →
anubis10–13-0.017%5 Oct →
nuke13–80.056%5 Oct →
anubis4–13-0.053%5 Oct →
dust29–13-0.038%5 Oct →
nuke13–16-0.0111%2 Oct →
ancient2–13-0.0927%2 Oct →
nuke3–13-0.0411%1 Oct →
nuke5–13-0.020%1 Oct →

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 →

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