T

T — CS2 Stats

76561198079862418[U:1:119596690]Steam profile ↗✓ No bans

473Tracked matches43%Win rate2020Tracked since
4,619Hours in CS2Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate44.4%44.8%45.7%1.3% short
Shot accuracy18.8%12.4%12.7%above
Kill/death ratio0.801.031.050.25 short
Match win rate44.2%45.2%45.7%1.5% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGTFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning45
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateWWWLWLLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.0pp headshot accuracy · −16ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 513ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 539ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 546ms

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 against its own average).

Aim5.2
Utility3.9
Positioning4.5
Opening Duels2.3
Clutch3.2

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning4.5
Utility3.9
Mechanics2.6
Opening Duels2.6
Win Impact2.8

Composite 4.0/10 (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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time562ms−1ms
first ⅓ avg 563ms → last ⅓ avg 562ms
Headshot accuracy14.0%+0.6%
first ⅓ avg 13.4% → last ⅓ avg 14.0%

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 · 13–9 · anubis, 24 Sept →
28%Best headshot accuracy · 6–16 · vertigo, 28 May →
398msFastest reaction time · 16–4 · vertigo, 12 Dec →
16–3Biggest win · overpass, 21 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
11–8In matches decided by ≤2 rounds
91Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
vertigoA2414–1058%-0.02
nukeC167–944%-0.02
mirageD154–1127%-0.03
anubisB126–650%-0.02
overpassA116–555%-0.03
ancientA106–460%-0.02
infernoD92–722%-0.03
dust2—21–150%0.01
cache—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,246Lifetime kills
0.80K/D
4,365Matches
44.2%Match win rate
44.4%Headshot %
18.8%Shot accuracy · Top 10% of Level 6 players
11,941MVPs
2,767Hours (in match)
4,075Bombs planted
1,241Bombs defused

Most-used weapons

AK-4725,999
AWP5,328
Negev2,437
P902,060
Knife1,947

Lifetime map wins

8,631inferno
5,065nuke
4,343dust2
3,462vertigo
3,220train
593cbble
198office
163lake

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

Faceit stats

Combat

1,329Matches
50%Win rate
0.81Avg K/D
80.2ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2446%0.9815.5
Dust21856%1.0015.6
Ancient1258%1.0517.0
Anubis1145%0.9714.6
Inferno850%1.1215.8
Vertigo743%0.7811.6
Nuke771%0.9914.1
Cache450%0.6614.0

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.

14.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
39.0%Spray accuracy
61.7%Counter-strafing
10.3°Preaim
563msReaction time
36.2%T opening success
44.4%CT opening success
0.42Enemies flashed / flash
1.7%Flash assists
9.50HE damage / grenade
4.19Flashes / 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 14.454% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4194 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.2166% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–14-0.0112%5 Oct →
ancient13–1-0.064%27 Sept →
anubis13–90.1327%24 Sept →
mirage7–13-0.0414%23 Sept →
inferno13–100.1116%21 Sept →
nuke9–13-0.0520%19 Sept →
vertigo6–13-0.0213%18 Sept →
cache22–19-0.0212%14 Sept →
nuke13–4-0.0010%7 Sept →
vertigo6–13-0.0223%7 Sept →
vertigo9–50.0116%13 Sept →
vertigo10–16-0.019%13 Jun →
anubis14–16-0.046%7 Jun →
ancient12–16-0.0416%7 Jun →
mirage9–160.0219%6 Jun →
mirage16–14-0.047%5 Jun →
nuke16–12-0.008%4 Jun →
mirage17–19-0.0611%3 Jun →
dust217–190.0217%3 Jun →
nuke16–14-0.0213%31 May →
mirage9–16-0.0915%31 May →
overpass12–160.0916%31 May →
vertigo6–16-0.0428%28 May →
overpass14–16-0.0113%28 May →
nuke16–190.0116%28 May →
mirage16–14-0.0221%28 May →
mirage16–60.0413%27 May →
anubis10–16-0.006%25 May →
vertigo16–140.0314%24 May →
vertigo15–19-0.0721%24 May →
nuke6–16-0.0411%24 May →
ancient6–16-0.103%22 May →
nuke16–100.0110%22 May →
nuke10–16-0.0212%21 May →
overpass16–30.0713%21 May →
nuke5–16-0.0216%21 May →
inferno4–16-0.066%19 May →
mirage12–16-0.0426%19 May →
vertigo16–14-0.0118%18 May →
ancient19–22-0.0613%18 May →
nuke28–25-0.059%16 May →
mirage10–16-0.058%15 May →
nuke9–16-0.0821%15 May →
ancient19–15-0.0213%15 May →
anubis13–16-0.036%11 May →
overpass20–22-0.0414%8 May →
vertigo16–130.0115%2 May →
inferno7–16-0.079%2 May →
vertigo18–22-0.0614%1 May →
nuke6–16-0.0117%26 Apr →
ancient16–11-0.0110%26 Apr →
overpass11–16-0.0216%25 Apr →
nuke16–5-0.0018%25 Apr →
mirage7–16-0.0422%25 Apr →
overpass16–9-0.029%24 Apr →
inferno12–16-0.0218%23 Apr →
inferno8–16-0.0426%22 Apr →
vertigo16–50.0113%22 Apr →
overpass16–13-0.0417%28 Mar →
inferno12–16-0.0615%28 Mar →
nuke16–10-0.0325%28 Mar →
mirage11–16-0.0016%28 Mar →
overpass4–16-0.116%26 Mar →
vertigo16–7-0.0615%26 Mar →
mirage13–16-0.0216%26 Mar →
vertigo16–10-0.0419%26 Mar →
vertigo16–11-0.0117%23 Mar →
anubis9–16-0.0915%23 Mar →
nuke14–16-0.0311%20 Mar →
vertigo9–16-0.098%14 Mar →
inferno8–16-0.0618%14 Mar →
overpass16–9-0.0522%14 Mar →
anubis16–14-0.0711%13 Mar →
anubis16–110.0120%28 Feb →
mirage8–16-0.0520%27 Feb →
vertigo16–9-0.0311%22 Feb →
dust216–90.0022%21 Feb →
mirage16–14-0.047%21 Feb →
anubis14–16-0.0416%21 Feb →
overpass19–16-0.1012%21 Feb →
vertigo11–16-0.0215%20 Feb →
anubis11–16-0.0215%7 Feb →
vertigo19–17-0.0212%7 Feb →
vertigo16–13-0.0115%31 Jan →
ancient16–120.0810%31 Jan →
mirage14–16-0.0212%29 Jan →
inferno10–16-0.048%25 Jan →
anubis16–13-0.0212%24 Jan →
overpass19–17-0.0716%17 Jan →
vertigo16–12-0.0713%17 Jan →
vertigo16–14-0.0818%16 Dec →
ancient13–16-0.037%16 Dec →
anubis16–12-0.019%15 Dec →
vertigo11–16-0.0121%15 Dec →
vertigo7–16-0.0212%14 Dec →
inferno16–130.037%14 Dec →
vertigo16–40.0211%12 Dec →
anubis16–12-0.057%12 Dec →
nuke5–16-0.0414%12 Dec →
ancient16–110.0315%9 Dec →

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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