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Shuffle — CS2 Stats

PT76561198075141743[U:1:114876015]Steam profile ↗✓ No bans

221Tracked matches56%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGShuffleFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateWLLLLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.4pp headshot accuracy · −41ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 705ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 668ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 689ms

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 (+1.1 against its own average).

Aim4.4
Utility4.6
Positioning4.8
Opening Duels2.8
Clutch2.6

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 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 693ms 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

Aim4.4
Positioning4.8
Utility4.6
Mechanics6.8
Opening Duels2.1
Win Impact6.9

Composite 4.9/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time696ms+6ms
first ⅓ avg 690ms → last ⅓ avg 696ms
Headshot accuracy15.0%+3.7%
first ⅓ avg 11.2% → last ⅓ avg 15.0%

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

0.13Best match rating · 13–1 · ancient, 4 May →
40%Best headshot accuracy · 2–9 · mirage, 9 Jun →
453msFastest reaction time · 2–9 · mirage, 9 Jun →
13–0Biggest win · cache, 27 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 63% over 43infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
cacheA4327–1663%0.03
mirageD144–1029%-0.01
infernoD123–925%-0.03
dust2C104–640%-0.02
nukeC83–538%0.02
ancientB63–350%0.03
vertigo—32–167%-0.00
overpass—21–150%-0.04
anubis—11–0100%-0.03
stronghold—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches
46%Win rate
0.84Avg K/D
69.3ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2759%0.8913.6
Dust22025%0.6811.2
Cache1771%0.9714.7
Inferno1644%0.7513.6
Ancient1354%0.9415.9
Anubis425%0.7612.0
Nuke425%0.9216.5
Overpass250%0.8812.5

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.

13.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.5%Spray accuracy
80.7%Counter-strafing
11.9°Preaim
693msReaction time
40.0%T opening success
36.6%CT opening success
0.55Enemies flashed / flash
2.8%Flash assists
7.41HE damage / grenade
7.63Flashes / 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 13.772% — 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 39.976% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–00.0613%27 Jun →
nuke7–13-0.059%26 Jun →
nuke11–13-0.0112%17 Jun →
ancient2–90.019%16 Jun →
dust24–13-0.109%10 Jun →
dust213–70.0723%10 Jun →
mirage2–9-0.0840%9 Jun →
cache13–50.0735%8 Jun →
inferno9–13-0.0412%6 Jun →
inferno10–13-0.0317%2 Jun →
inferno5–13-0.056%1 Jun →
anubis13–10-0.0319%1 Jun →
dust212–120.0412%28 May →
inferno13–11-0.0112%28 May →
mirage12–120.0121%27 May →
cache13–3-0.0115%26 May →
mirage10–13-0.024%26 May →
cache12–120.0210%26 May →
nuke13–50.1116%24 May →
stronghold5–13-0.0619%23 May →
cache13–40.1113%23 May →
cache13–40.028%23 May →
cache13–60.0413%23 May →
cache13–110.0813%23 May →
cache3–13-0.0310%23 May →
cache13–40.0517%22 May →
cache8–130.054%21 May →
cache13–8-0.0718%21 May →
ancient13–10.095%20 May →
cache13–7-0.059%20 May →
cache13–20.1019%19 May →
nuke13–20.0118%18 May →
ancient5–0-0.0336%18 May →
cache13–80.1211%18 May →
cache13–40.009%17 May →
mirage5–130.0511%17 May →
cache2–13-0.0711%17 May →
cache10–130.0613%17 May →
cache13–40.038%17 May →
cache8–10.0221%16 May →
mirage11–13-0.0111%16 May →
dust213–8-0.0318%16 May →
mirage13–11-0.0111%16 May →
cache13–40.1015%16 May →
cache10–130.0714%16 May →
cache4–13-0.0911%16 May →
cache13–00.1220%16 May →
nuke12–120.0410%14 May →
cache13–90.0313%14 May →
cache13–50.0013%14 May →
inferno8–130.0115%14 May →
cache13–40.0219%13 May →
dust24–13-0.0212%13 May →
cache13–80.1015%12 May →
inferno11–13-0.0818%12 May →
inferno13–60.0320%11 May →
cache13–60.025%9 May →
inferno4–13-0.0415%9 May →
nuke5–13-0.0111%9 May →
cache13–4-0.0324%9 May →
dust28–13-0.0813%8 May →
nuke13–80.1011%8 May →
cache13–40.0621%8 May →
dust28–130.0219%6 May →
mirage13–10.027%6 May →
ancient12–120.015%6 May →
cache6–130.064%5 May →
mirage15–15-0.0115%5 May →
cache13–70.046%5 May →
vertigo13–60.0114%4 May →
cache13–40.1120%4 May →
cache3–13-0.023%4 May →
inferno13–9-0.0317%4 May →
inferno8–13-0.0510%4 May →
dust22–13-0.0725%4 May →
ancient13–10.1314%4 May →
mirage7–120.0217%4 May →
overpass3–13-0.0515%4 May →
mirage12–12-0.0310%3 May →
mirage13–10-0.044%3 May →
dust213–50.039%3 May →
inferno4–13-0.029%3 May →
cache7–13-0.007%3 May →
vertigo13–00.014%2 May →
overpass13–10-0.0314%2 May →
cache11–130.0213%1 May →
cache12–120.0314%1 May →
inferno7–13-0.0910%1 May →
cache1–13-0.080%1 May →
dust213–7-0.017%1 May →
mirage13–10-0.044%1 May →
cache13–40.0113%30 Apr →
cache11–130.0815%30 Apr →
cache7–13-0.0413%30 Apr →
cache11–13-0.0011%29 Apr →
ancient3–13-0.059%28 Apr →
mirage8–13-0.0212%27 Apr →
vertigo4–13-0.0311%27 Apr →
nuke2–13-0.0115%26 Apr →
mirage7–130.0411%26 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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