yeddt

yeddt — CS2 Stats

HM76561198143959547[U:1:183693819]Steam profile ↗✓ No bans

849Tracked matches48%Win rate2020Tracked since
3,581Hours in CS21Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+49Tracked matches · now 849
−11.8ppWin rate · 60.0% → 48.1%

Rating over time

15,550Peak Premier in tracked matches
43Days played since 2026-07-02

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

Performance scores

Aim73
Positioning57
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLWWTWTWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · +119ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 648ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 691ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 631ms

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).

Aim7.3
Utility5.4
Positioning5.7
Opening Duels2.6
Clutch3.0

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 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 617ms 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

Aim7.3
Positioning5.7
Utility5.4
Mechanics6.4
Opening Duels3.8
Win Impact4.4

Composite 5.9/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time611ms+11ms
first ⅓ avg 600ms → last ⅓ avg 611ms
Headshot accuracy17.4%−1.0%
first ⅓ avg 18.4% → last ⅓ avg 17.4%

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

0.15Best match rating · 13–10 · cache, 3 Aug →
39%Best headshot accuracy · 11–13 · mirage, 2 Jul →
438msFastest reaction time · 2–5 · nuke, 8 Oct →
13–2Biggest win · mirage, 6 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 67% over 15nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%0.00
infernoS1510–567%0.01
cacheB136–746%-0.00
anubisB137–654%0.01
dust2C125–742%0.02
ancientS96–367%0.01
nukeC83–538%0.02
overpass—20–20%0.00
vertigo—21–150%0.01
office—10–10%0.05
train—10–10%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,800Lifetime kills
1.18K/D · Top 25% of tracked players
4,734Matches
40.7%Match win rate
36.3%Headshot %
14.5%Shot accuracy · Top 50% of tracked players
9,114MVPs
1,688Hours (in match)
2,468Bombs planted
1,184Bombs defused

Most-used weapons

Lifetime map wins

6,443dust2
3,593inferno
2,266nuke
1,490office
1,094cbble
771train
516vertigo
166lake

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

Faceit stats

Combat

202Matches
50%Win rate
1.26Avg K/D
73.6ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage978%2.3016.7
Anubis757%1.4516.6
Cache475%0.9713.0
Inferno475%1.1214.8
Ancient367%1.4318.7
Overpass333%1.3512.0
Nuke1100%1.1317.0
Vertigo10%0.6911.0

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.

17.4%Headshot accuracy
36.9%Accuracy (enemy spotted)
41.5%Spray accuracy
78.9%Counter-strafing
9.5°Preaim
617msReaction time
45.0%T opening success
45.3%CT opening success
0.68Enemies flashed / flash
3.6%Flash assists
6.92HE damage / grenade
14.41Flashes / match

Recommended for you

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–130.0222%25 Oct →
dust213–50.0317%24 Oct →
ancient13–8-0.0817%24 Oct →
mirage12–12-0.0225%24 Oct →
nuke13–9-0.0424%24 Oct →
mirage12–12-0.0211%23 Oct →
inferno13–80.1226%22 Oct →
mirage10–130.0221%22 Oct →
dust29–130.0415%22 Oct →
cache11–130.0111%20 Oct →
dust213–70.0620%20 Oct →
cache13–10-0.0417%18 Oct →
dust23–130.0423%18 Oct →
nuke12–12-0.0014%16 Oct →
dust29–130.0214%15 Oct →
inferno11–130.0617%15 Oct →
ancient11–13-0.0215%14 Oct →
ancient13–40.0627%14 Oct →
mirage0–9-0.0623%14 Oct →
mirage13–110.0613%13 Oct →
nuke13–60.0813%13 Oct →
inferno6–13-0.0612%8 Oct →
mirage9–13-0.0216%8 Oct →
inferno13–30.0117%8 Oct →
nuke2–5-0.0811%8 Oct →
mirage13–70.0715%6 Oct →
anubis10–130.0313%6 Oct →
dust213–11-0.0125%6 Oct →
mirage13–20.0213%6 Oct →
overpass11–130.0119%6 Oct →
nuke8–13-0.0111%5 Oct →
mirage7–2-0.0328%5 Oct →
dust22–13-0.0411%5 Oct →
ancient13–110.0432%29 Sept →
cache8–13-0.0219%29 Sept →
dust213–100.027%29 Sept →
cache12–120.0023%24 Sept →
vertigo12–12-0.0213%23 Sept →
mirage12–120.1121%22 Sept →
inferno13–9-0.0116%22 Sept →
ancient13–4-0.0215%22 Sept →
dust28–13-0.0018%21 Sept →
ancient11–130.0212%21 Sept →
inferno4–130.0423%21 Sept →
anubis13–3-0.009%21 Sept →
mirage1–13-0.048%18 Sept →
anubis6–13-0.0321%18 Sept →
ancient7–130.0223%16 Sept →
mirage6–13-0.0719%16 Sept →
mirage13–80.0112%10 Sept →
inferno13–30.0719%10 Sept →
nuke13–100.0321%9 Sept →
ancient13–50.0317%9 Sept →
anubis13–9-0.058%21 Aug →
inferno10–13-0.0115%18 Aug →
inferno7–13-0.0616%18 Aug →
inferno13–90.0424%11 Aug →
cache11–130.0324%11 Aug →
mirage11–13-0.057%11 Aug →
mirage13–100.0620%6 Aug →
dust29–130.0721%5 Aug →
cache9–13-0.0514%5 Aug →
anubis13–9-0.0118%5 Aug →
anubis9–130.0118%4 Aug →
cache13–100.1515%3 Aug →
cache13–9-0.0410%2 Aug →
mirage13–50.0615%2 Aug →
mirage13–80.0610%1 Aug →
inferno13–11-0.0412%1 Aug →
anubis12–160.0413%1 Aug →
mirage14–160.0422%29 Jul →
office8–130.0516%27 Jul →
overpass4–13-0.009%27 Jul →
vertigo13–20.0425%27 Jul →
mirage22–200.0412%27 Jul →
cache13–6-0.0520%27 Jul →
anubis13–60.0311%26 Jul →
cache13–11-0.0123%26 Jul →
nuke8–130.1119%21 Jul →
anubis19–160.0119%21 Jul →
inferno13–70.018%21 Jul →
train12–120.0713%21 Jul →
mirage9–13-0.0828%20 Jul →
anubis13–40.0122%20 Jul →
dust213–30.0524%19 Jul →
inferno11–80.0124%19 Jul →
mirage16–13-0.0015%11 Jul →
anubis13–40.0529%11 Jul →
ancient13–8-0.006%9 Jul →
inferno13–110.0117%9 Jul →
nuke8–130.0912%9 Jul →
cache11–50.018%9 Jul →
dust26–13-0.0025%7 Jul →
cache12–120.0123%7 Jul →
mirage10–13-0.0312%4 Jul →
anubis9–13-0.0114%3 Jul →
inferno13–40.0226%2 Jul →
anubis12–120.0238%2 Jul →
mirage11–13-0.0439%2 Jul →
mirage11–13-0.0414%2 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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