[∗_∗ ♡] GEDD-EY

[∗_∗ ♡] GEDD-EY — CS2 Stats

76561198616110209[U:1:655844481]Steam profile ↗1 game ban

138Tracked matches58%Win rate2026Tracked since
158Hours in CS102Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Ladder ranks via Leetify

Performance scores

Aim90
Positioning76
Utility53

0–100 skill scores via Leetify.

Recent form

HOT69–22–9Last 10069%Win rateLWWWWLWWWT

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +0.7pp headshot accuracy · +73ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 18%
  • Avg reaction 542ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.12
  • Avg headshot accuracy 19%
  • Avg reaction 537ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 18%
  • Avg reaction 501ms

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 (+2.6 against its own average).

Aim9.0
Utility5.3
Positioning7.6
Opening Duels7.3
Clutch0.0

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.

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

s1mple

Plays most like s1mple 97% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0
Positioning7.6
Utility5.3
Mechanics6.7
Opening Duels8.5
Win Impact7.6

Composite 7.6/10 (Strong), 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 rating0.10−0.01
first ⅓ avg 0.11 → last ⅓ avg 0.10
Reaction time478ms−55ms
first ⅓ avg 533ms → last ⅓ avg 478ms
Headshot accuracy19.3%−11.4%
first ⅓ avg 30.6% → last ⅓ avg 19.3%

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

0.28Best match rating · 7–13 · mirage, 3 Nov →
100%Best headshot accuracy · 11–13 · dust2, 28 Oct →
344msFastest reaction time · 12–12 · dust2, 2 Nov →
13–0Biggest win · anubis, 11 Nov →

Across the last 100 tracked matches.

Highlights

16Longest win streak
1–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 100% over 5dust2Weakest map · 59% over 27
MapGradePlayedRecordWin rateAvg rating
mirageS2720–774%0.11
dust2A2716–1159%0.09
infernoS1812–667%0.08
anubisS107–370%0.09
cacheA53–260%0.08
officeS55–0100%0.11
nuke—42–250%0.12
ancient—44–0100%0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (59% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,523Lifetime kills
1.63K/D · Top 5% of tracked players
209Matches
56.9%Match win rate · Top 5% of tracked players
54.2%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
659MVPs
65Hours (in match)
205Bombs planted
74Bombs defused

Most-used weapons

Lifetime map wins

541dust2
319inferno
78office
65nuke
19vertigo
1ar_baggage

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

Faceit stats

Combat

9Matches
33%Win rate
0.95Avg K/D
81.9ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.8213.3
Dust220%0.7513.0
Anubis250%1.0212.0
Mirage10%1.2421.0
Ancient1100%1.2520.0

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.

19.6%Headshot accuracy
39.4%Accuracy (enemy spotted)
35.8%Spray accuracy
80.2%Counter-strafing
6.2°Preaim
481msReaction time
67.4%T opening success
60.3%CT opening success
0.67Enemies flashed / flash
11.8%Flash assists
13.56HE damage / grenade
6.40Flashes / match

Recent matches

MapScoreRatingHS%Date
anubis9–130.0323%12 Nov →
mirage13–70.1714%12 Nov →
mirage13–30.1021%12 Nov →
inferno13–40.0516%12 Nov →
mirage13–10.1616%12 Nov →
anubis11–130.0924%12 Nov →
dust216–130.1022%12 Nov →
nuke13–40.2215%12 Nov →
anubis13–00.1121%11 Nov →
anubis12–120.1418%11 Nov →
ancient13–60.1719%11 Nov →
nuke1–130.0212%11 Nov →
cache11–130.0115%11 Nov →
mirage13–50.0316%11 Nov →
dust29–130.0323%11 Nov →
mirage13–70.1425%11 Nov →
cache11–130.0918%10 Nov →
inferno12–120.1619%10 Nov →
mirage5–130.0320%9 Nov →
inferno13–20.0915%9 Nov →
inferno6–130.0411%9 Nov →
dust22–130.0316%9 Nov →
ancient13–20.2222%8 Nov →
inferno13–30.0614%8 Nov →
dust213–30.1231%8 Nov →
dust212–120.1322%8 Nov →
inferno8–130.0818%8 Nov →
mirage12–120.1634%8 Nov →
inferno7–130.0110%7 Nov →
dust213–70.1830%7 Nov →
dust212–120.0223%7 Nov →
dust213–20.1918%7 Nov →
cache13–50.1417%7 Nov →
dust213–30.1416%7 Nov →
mirage13–50.0915%7 Nov →
mirage13–90.1515%7 Nov →
inferno13–70.027%6 Nov →
mirage13–4-0.017%6 Nov →
anubis13–50.129%6 Nov →
ancient13–00.114%6 Nov →
mirage11–130.048%6 Nov →
mirage13–80.1611%6 Nov →
anubis13–50.0116%6 Nov →
anubis13–80.0913%5 Nov →
dust213–5-0.0014%5 Nov →
inferno13–40.0522%4 Nov →
inferno11–13-0.0215%4 Nov →
dust213–100.0618%4 Nov →
mirage10–130.0419%4 Nov →
dust210–130.058%4 Nov →
cache13–80.1013%4 Nov →
anubis13–3-0.0112%4 Nov →
nuke10–130.0516%4 Nov →
dust213–3-0.0418%4 Nov →
cache13–10.0722%3 Nov →
inferno13–20.2223%3 Nov →
dust213–50.1119%3 Nov →
inferno13–90.0425%3 Nov →
mirage13–90.0125%3 Nov →
mirage7–130.2823%3 Nov →
dust29–3-0.0324%3 Nov →
dust212–120.0320%2 Nov →
dust29–130.0817%2 Nov →
mirage13–20.1416%2 Nov →
mirage13–20.1410%2 Nov →
inferno13–30.2024%2 Nov →
inferno13–60.2228%2 Nov →
mirage12–120.0826%30 Oct →
mirage13–30.1032%30 Oct →
anubis13–40.2023%30 Oct →
inferno5–13-0.1525%30 Oct →
dust213–80.0922%30 Oct →
dust212–120.1029%30 Oct →
dust212–120.0438%30 Oct →
ancient13–20.0528%30 Oct →
dust29–130.1135%29 Oct →
office13–40.0155%29 Oct →
anubis13–90.1427%29 Oct →
mirage9–00.1256%29 Oct →
dust213–50.0845%29 Oct →
inferno13–110.0122%29 Oct →
mirage13–30.2728%29 Oct →
mirage13–10.0233%29 Oct →
mirage13–40.1924%29 Oct →
mirage13–40.1221%29 Oct →
dust213–20.1822%28 Oct →
mirage13–20.0127%28 Oct →
office13–40.0822%28 Oct →
office13–40.1624%28 Oct →
mirage13–20.0726%28 Oct →
nuke13–00.205%28 Oct →
dust213–70.0823%28 Oct →
mirage11–130.1528%28 Oct →
inferno13–10.2027%28 Oct →
dust213–60.1317%28 Oct →
inferno13–10.1931%28 Oct →
dust213–30.1514%28 Oct →
dust211–130.23100%28 Oct →
office13–70.1721%28 Oct →
office13–50.1055%28 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches16-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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