TuRbii — CS2 Stats

76561197986046121[U:1:25780393]✓ No bans

172Tracked matches54%Win rate2025Tracked since
2,399Hours in CS
CSDB Rating5.6 SolidHybrid Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 medianLevel 8 medianvs Level 8
Headshot rate40.6%46.2%47.2%6.6% short
Shot accuracy19.5%12.5%12.3%above
Kill/death ratio1.051.061.070.02 short
Match win rate46.6%45.9%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTuRbiiFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning45
Utility46

0–100 skill scores via Leetify.

Recent form

HOT563014Last 10056%Win rateLWWWLWWWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression4.5
Utility4.6
Positioning4.5
Opening Duels0.5
Clutch4.0

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.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim7.4
Positioning4.5
Utility4.6
Mechanics6.7
Opening Duels1.4
Win Impact6.2

Composite 5.6/10 (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 rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time565ms+10ms
first ⅓ avg 556ms → last ⅓ avg 565ms
Headshot accuracy16.3%+2.0%
first ⅓ avg 14.3% → last ⅓ avg 16.3%

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.

Highlights

0.15Best rating — ancient 13–5
131Biggest win — vertigo
11Longest win streak
46In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 73% over 11infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA1811761%-0.01
ancientB189950%0.01
trainB179853%0.01
nukeS118373%0.01
infernoD113827%-0.03
overpassA95456%-0.00
dust2S75271%-0.02
anubisA53260%0.00
cache1010%-0.08
italy110100%0.06
vertigo110100%-0.07
office110100%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,926Lifetime kills
1.05K/D
2,691Matches
46.6%Match win rate · Top 50% of Level 7 players
40.6%Headshot %
19.5%Shot accuracy · Top 5% of Level 7 players
4,151MVPs
2,399Hours (in match)
3,961Bombs planted
895Bombs defused

Most-used weapons

AK-4740,553
AWP10,996
P2502,786
P901,945
Tec-91,626

Lifetime map wins

4,747dust2
4,443inferno
2,109train
1,587nuke
1,437cbble
173dust
125italy
117vertigo

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

Faceit stats

Combat

59Matches
56%Win rate
1.14Avg K/D
67.4ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Train729%0.8116.9
Ancient367%1.3910.7
Mirage333%0.669.0

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.

16.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.6%Spray accuracy
80.0%Counter-strafing
8.8°Preaim
568msReaction time
22.7%T opening success
40.9%CT opening success
0.45Enemies flashed / flash
5.0%Flash assists
6.92HE damage / grenade
7.82Flashes / 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. 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 0.4514 — below the 0.5 mark we flag

    Grenade Lineups
  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 22.741% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0516%19 Jul
nuke13–7-0.0725%11 Jul
mirage13–9-0.0027%11 Jul
ancient13–70.0134%11 Jul
cache11–13-0.088%11 Jul
inferno13–70.0326%11 Jul
overpass13–50.0321%1 Jun
mirage13–6-0.0114%1 Jun
ancient9–13-0.0118%1 Jun
ancient13–80.0412%31 May
ancient13–60.1531%31 May
inferno8–8-0.0621%31 May
inferno4–13-0.1014%31 May
mirage13–80.0226%31 May
inferno11–13-0.0315%30 May
mirage3–13-0.037%26 May
ancient13–16-0.0211%26 May
nuke13–100.0016%26 May
overpass13–9-0.0433%25 May
overpass9–13-0.0413%25 May
ancient9–13-0.0818%25 May
inferno14–16-0.036%25 May
ancient15–15-0.0119%24 May
overpass13–4-0.083%24 May
mirage13–9-0.0214%24 May
mirage11–13-0.0624%24 May
inferno7–13-0.0722%19 May
mirage10–130.0211%19 May
mirage15–15-0.028%18 May
nuke13–9-0.007%18 May
italy13–30.065%17 May
overpass13–90.0114%17 May
ancient13–60.050%26 Apr
train5–130.0323%26 Apr
mirage3–13-0.0923%18 Mar
train12–120.0518%16 Mar
inferno0–6-0.0650%16 Mar
train22–250.0015%15 Mar
nuke13–20.1029%7 Mar
mirage10–130.0121%6 Mar
mirage13–70.0111%6 Mar
ancient13–4-0.1014%6 Mar
nuke13–110.0311%3 Mar
ancient12–120.0322%3 Mar
train11–13-0.0119%3 Mar
vertigo13–1-0.0718%3 Mar
nuke7–13-0.0417%2 Mar
mirage13–50.0315%2 Mar
train13–60.0316%2 Mar
ancient12–16-0.079%1 Mar
train13–6-0.0417%1 Mar
inferno13–50.0215%1 Mar
dust213–7-0.0511%28 Feb
nuke13–20.1325%28 Feb
dust212–120.0218%26 Feb
train13–40.0319%26 Feb
train12–12-0.0219%24 Feb
dust213–40.0213%24 Feb
ancient13–2-0.0123%24 Feb
anubis13–11-0.0515%24 Feb
inferno13–9-0.0219%23 Feb
train13–20.0114%23 Feb
mirage16–12-0.0210%23 Feb
ancient13–50.1511%23 Feb
ancient13–30.009%22 Feb
train13–6-0.037%22 Feb
mirage13–10-0.0324%22 Feb
ancient13–60.0615%22 Feb
train6–13-0.0925%22 Feb
train16–19-0.0319%22 Feb
ancient5–13-0.0416%21 Feb
train13–30.0519%21 Feb
office13–5-0.075%21 Feb
train13–70.0612%21 Feb
mirage12–120.0016%19 Feb
overpass13–50.0816%19 Feb
dust213–50.0214%19 Feb
train13–110.0419%18 Feb
anubis9–130.0019%18 Feb
anubis13–100.0516%17 Feb
train13–90.0519%17 Feb
mirage13–4-0.0511%17 Feb
inferno12–12-0.058%17 Feb
nuke12–120.0117%16 Feb
dust28–4-0.0117%16 Feb
overpass12–120.0217%16 Feb
dust20–4-0.060%16 Feb
anubis13–80.0617%16 Feb
nuke11–13-0.0313%16 Feb
dust213–11-0.0512%15 Feb
inferno3–130.028%15 Feb
overpass12–12-0.069%15 Feb
ancient6–13-0.0012%14 Feb
train7–13-0.0212%14 Feb
mirage13–20.1226%14 Feb
nuke13–7-0.0418%14 Feb
overpass12–120.0313%13 Feb
mirage13–7-0.0110%13 Feb
nuke13–8-0.0215%12 Feb
ancient12–120.0110%12 Feb

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →